SYNOPSIS

srun [ OPTIONS(0) ... [ executable(0) [ args(0) ...]]] [ : [ OPTIONS(N) ...]] executable(N) [ args(N) ...] Option(s) define multiple jobs in a co-scheduled heterogeneous job. For more details about heterogeneous jobs see the document https://slurm.schedmd.com/heterogeneous_jobs.html

DESCRIPTION

Run a parallel job on cluster managed by Slurm. If necessary, srun will first create a resource allocation in which to run the parallel job. The following document describes the influence of various options on the allocation of cpus to jobs and tasks. https://slurm.schedmd.com/cpu_management.html

RETURN VALUE

srun will return the highest exit code of all tasks run or the highest signal (with the high-order bit set in an 8-bit integer -- e.g. 128 + signal) of any task that exited with a signal. The value 253 is reserved for out-of-memory errors.

EXECUTABLE PATH RESOLUTION

The executable is resolved in the following order: 1. If executable starts with ".", then path is constructed as: current working directory / executable 2. If executable starts with a "/", then path is considered absolute. 3. If executable can be resolved through PATH. See path_resolution (7). 4. If executable is in current working directory. Current working directory is the calling process working directory unless the --chdir argument is passed, which will override the current working directory.

OPTIONS

--accel-bind =< options >

Control how tasks are bound to generic resources of type gpu and nic. Multiple options may be specified. Supported options include:

g

Bind each task to GPUs which are closest to the allocated CPUs.

n

Bind each task to NICs which are closest to the allocated CPUs.

v

Verbose mode. Log how tasks are bound to GPU and NIC devices.

This option applies to job allocations.

-A , --account =< account >

Charge resources used by this job to specified account. The account is an arbitrary string. The account name may be changed after job submission using the scontrol command. This option applies to job allocations.

--acctg-freq =< datatype >=< interval >[,< datatype >=< interval >...]

Define the job accounting and profiling sampling intervals in seconds. This can be used to override the JobAcctGatherFrequency parameter in the slurm.conf file. < datatype >=< interval > specifies the task sampling interval for the jobacct_gather plugin or a sampling interval for a profiling type by the acct_gather_profile plugin. Multiple comma-separated < datatype >=< interval > pairs may be specified. Supported datatype values are:

task

Sampling interval for the jobacct_gather plugins and for task profiling by the acct_gather_profile plugin. NOTE : This frequency is used to monitor memory usage. If memory limits are enforced the highest frequency a user can request is what is configured in the slurm.conf file. It can not be disabled.

energy

Sampling interval for energy profiling using the acct_gather_energy plugin.

network

Sampling interval for infiniband profiling using the acct_gather_interconnect plugin.

filesystem

Sampling interval for filesystem profiling using the acct_gather_filesystem plugin. The default value for the task sampling interval is 30 seconds. The default value for all other intervals is 0. An interval of 0 disables sampling of the specified type. If the task sampling interval is 0, accounting information is collected only at job termination (reducing Slurm interference with the job). Smaller (non-zero) values have a greater impact upon job performance, but a value of 30 seconds is not likely to be noticeable for applications having less than 10,000 tasks. This option applies to job allocations.

--bb =< spec >

Burst buffer specification. The form of the specification is system dependent. Also see --bbf . This option applies to job allocations. When the --bb option is used, Slurm parses this option and creates a temporary burst buffer script file that is used internally by the burst buffer plugins. See Slurm's burst buffer guide for more information and examples: https://slurm.schedmd.com/burst_buffer.html

--bbf =< file_name >

Path of file containing burst buffer specification. The form of the specification is system dependent. Also see --bb . This option applies to job allocations. See Slurm's burst buffer guide for more information and examples: https://slurm.schedmd.com/burst_buffer.html

--bcast [=< dest_path >]

Copy executable file to allocated compute nodes. If a file name is specified, copy the executable to the specified destination file path. If the path specified ends with '/' it is treated as a target directory, and the destination file name will be slurm_bcast_<job_id>.<step_id>_<nodename>. If no dest_path is specified and the slurm.conf BcastParameters DestDir is configured then it is used, and the filename follows the above pattern. If none of the previous is specified, then --chdir is used, and the filename follows the above pattern too. For example, "srun --bcast=/tmp/mine -N3 a.out" will copy the file "a.out" from your current directory to the file "/tmp/mine" on each of the three allocated compute nodes and execute that file. This option applies to step allocations.

--bcast-exclude ={NONE|< exclude_path >[,< exclude_path >...]}

Comma-separated list of absolute directory paths to be excluded when autodetecting and broadcasting executable shared object dependencies through --bcast . If the keyword " NONE " is configured, no directory paths will be excluded. The default value is that of slurm.conf BcastExclude and this option overrides it. See also --bcast and --send-libs .

-b , --begin =< time >

Defer initiation of this job until the specified time. It accepts times of the form HH:MM:SS to run a job at a specific time of day (seconds are optional). (If that time is already past, the next day is assumed.) You may also specify midnight , noon , fika (3 PM) or teatime (4 PM) and you can have a time-of-day suffixed with AM or PM for running in the morning or the evening. You can also say what day the job will be run, by specifying a date of the form MMDDYY or MM/DD/YY YYYY-MM-DD . Combine date and time using the following format YYYY-MM-DD[THH:MM[:SS]] . You can also give times like now + count time-units , where the time-units can be seconds (default), minutes , hours , days , or weeks and you can tell Slurm to run the job today with the keyword today and to run the job tomorrow with the keyword tomorrow . The value may be changed after job submission using the scontrol command. For example: --begin=16:00 --begin=now+1hour --begin=now+60 (seconds by default) --begin=2010-01-20T12:34:00 Notes on date/time specifications:
- Although the 'seconds' field of the HH:MM:SS time specification is allowed by the code, note that the poll time of the Slurm scheduler is not precise enough to guarantee dispatch of the job on the exact second. The job will be eligible to start on the next poll following the specified time. The exact poll interval depends on the Slurm scheduler (e.g., 60 seconds with the default sched/builtin).
- If no time (HH:MM:SS) is specified, the default is (00:00:00).
- If a date is specified without a year (e.g., MM/DD) then the current year is assumed, unless the combination of MM/DD and HH:MM:SS has already passed for that year, in which case the next year is used. This option applies to job allocations.

-D , --chdir =< path >

Have the remote processes do a chdir to path before beginning execution. The default is to chdir to the current working directory of the srun process. The path can be specified as full path or relative path to the directory where the command is executed. This option applies to job allocations.

--cluster-constraint =< list >

Specifies features that a federated cluster must have to have a sibling job submitted to it. Slurm will attempt to submit a sibling job to a cluster if it has at least one of the specified features.

-M , --clusters =< string >

Clusters to issue commands to. Multiple cluster names may be comma separated. The job will be submitted to the one cluster providing the earliest expected job initiation time. The default value is the current cluster. A value of ' all ' will query to run on all clusters. Note the --export option to control environment variables exported between clusters. This option applies only to job allocations. Note that the SlurmDBD must be up for this option to work properly.

--comment =< string >

An arbitrary comment. This option applies to job allocations.

--compress [= type ]

Compress file before sending it to compute hosts. The optional argument specifies the data compression library to be used. The default is BcastParameters Compression= if set or "lz4" otherwise. Supported values are "lz4". Some compression libraries may be unavailable on some systems. For use with the --bcast option. This option applies to step allocations.

-C , --constraint =< list >

Nodes can have features assigned to them by the Slurm administrator. Users can specify which of these features are required by their job using the constraint option. If you are looking for 'soft' constraints please see --prefer for more information. Only nodes having features matching the job constraints will be used to satisfy the request. Multiple constraints may be specified with AND, OR, matching OR, resource counts, etc. (some operators are not supported on all system types). NOTE : Changeable features are features defined by a NodeFeatures plugin. Supported --constraint options include:

Single Name

Only nodes which have the specified feature will be used. For example, --constraint="intel"

Node Count

A request can specify the number of nodes needed with some feature by appending an asterisk and count after the feature name. For example, --nodes=16 --constraint="graphics*4 ..." indicates that the job requires 16 nodes and that at least four of those nodes must have the feature "graphics." NOTE : This option is not supported by the helpers NodeFeatures plugin. Heterogeneous jobs can be used instead.

AND

Only nodes with all of specified features will be used. The ampersand is used for an AND operator. For example, --constraint="intel&gpu"

OR

Only nodes with at least one of specified features will be used. The vertical bar is used for an OR operator. If changeable features are not requested, nodes in the allocation can have different features. For example, salloc -N2 --constraint="intel|amd" can result in a job allocation where one node has the intel feature and the other node has the amd feature. However, if the expression contains a changeable feature, then all OR operators are automatically treated as Matching OR so that all nodes in the job allocation have the same set of features. For example, salloc -N2 --constraint="foo|bar&baz" The job is allocated two nodes where both nodes have foo, or bar and baz (one or both nodes could have foo, bar, and baz). The helpers NodeFeatures plugin will find the first set of node features that matches all nodes in the job allocation; these features are set as active features on the node and passed to RebootProgram (see slurm.conf (5)) and the helper script (see helpers.conf (5)). In this case, the helpers plugin uses the first of "foo" or "bar,baz" that match the two nodes in the job allocation.

Matching OR

If only one of a set of possible options should be used for all allocated nodes, then use the OR operator and enclose the options within square brackets. For example, --constraint="[rack1|rack2|rack3|rack4]" might be used to specify that all nodes must be allocated on a single rack of the cluster, but any of those four racks can be used.

Multiple Counts

Specific counts of multiple resources may be specified by using the AND operator and enclosing the options within square brackets. For example, --constraint="[rack1*2&rack2*4]" might be used to specify that two nodes must be allocated from nodes with the feature of "rack1" and four nodes must be allocated from nodes with the feature "rack2". NOTE : This construct does not support multiple Intel KNL NUMA or MCDRAM modes. For example, while --constraint="[(knl&quad)*2&(knl&hemi)*4]" is not supported, --constraint="[haswell*2&(knl&hemi)*4]" is supported. Specification of multiple KNL modes requires the use of a heterogeneous job. NOTE : This option is not supported by the helpers NodeFeatures plugin. NOTE : Multiple Counts can cause jobs to be allocated with a non-optimal network layout.

Brackets

Brackets can be used to indicate that you are looking for a set of nodes with the different requirements contained within the brackets. For example, --constraint="[(rack1|rack2)*1&(rack3)*2]" will get you one node with either the "rack1" or "rack2" features and two nodes with the "rack3" feature. The same request without the brackets will try to find a single node that meets those requirements. NOTE : Brackets are only reserved for Multiple Counts and Matching OR syntax. AND operators require a count for each feature inside square brackets (i.e. "[quad*2&hemi*1]"). Slurm will only allow a single set of bracketed constraints per job. NOTE : Square brackets are not supported by the helpers NodeFeatures plugin. Matching OR can be requested without square brackets by using the vertical bar character with at least one changeable feature.

Parentheses

Parentheses can be used to group like node features together. For example, --constraint="[(knl&snc4&flat)*4&haswell*1]" might be used to specify that four nodes with the features "knl", "snc4" and "flat" plus one node with the feature "haswell" are required. Parentheses can also be used to group operations. Without parentheses, node features are parsed strictly from left to right. For example, --constraint="foo&bar|baz" requests nodes with foo and bar, or baz. --constraint="foo|bar&baz" requests nodes with foo and baz, or bar and baz (note how baz was AND'd with everything). --constraint="foo&(bar|baz)" requests nodes with foo and at least one of bar or baz. NOTE : OR within parentheses should not be used with a KNL NodeFeatures plugin but is supported by the helpers NodeFeatures plugin. WARNING : When srun is executed from within salloc or sbatch, the constraint value can only contain a single feature name. None of the other operators are currently supported for job steps. This option applies to job and step allocations.

--contiguous

If set, then the allocated nodes must form a contiguous set. NOTE : If SelectPlugin=cons_res this option won't be honored with the topology/tree or topology/3d_torus plugins, both of which can modify the node ordering. This option applies to job allocations.

-S , --core-spec =< num >

Count of Specialized Cores per node reserved by the job for system operations and not used by the application. If AllowSpecResourcesUsage is enabled a job can override the CoreSpecCount of all its allocated nodes with this option. The overridden Specialized Cores will still be reserved for system processes. The job will get an implicit --exclusive allocation for the rest of the Cores on the nodes, resulting in the job's processes being able to use (and being charged for) all the Cores on the nodes except for the overridden Specialized Cores. This option can not be used with the --thread-spec option. NOTE : Explicitly setting a job's specialized core value implicitly sets the --exclusive option. NOTE : This option may implicitly impact the number of tasks if -n was not specified. This option applies to job allocations.

--cores-per-socket =< cores >

Restrict node selection to nodes with at least the specified number of cores per socket. See additional information under -B option above when task/affinity plugin is enabled. This option applies to job allocations.

--cpu-bind =[{quiet|verbose},]< type >

Bind tasks to CPUs. Used only when the task/affinity plugin is enabled. NOTE : To have Slurm always report on the selected CPU binding for all commands executed in a shell, you can enable verbose mode by setting the SLURM_CPU_BIND environment variable value to "verbose". The following informational environment variables are set when --cpu-bind is in use: SLURM_CPU_BIND_VERBOSE SLURM_CPU_BIND_TYPE SLURM_CPU_BIND_LIST See the ENVIRONMENT VARIABLES section for a more detailed description of the individual SLURM_CPU_BIND variables. These variable are available only if the task/affinity plugin is configured. When using --cpus-per-task to run multithreaded tasks, be aware that CPU binding is inherited from the parent of the process. This means that the multithreaded task should either specify or clear the CPU binding itself to avoid having all threads of the multithreaded task use the same mask/CPU as the parent. Alternatively, fat masks (masks which specify more than one allowed CPU) could be used for the tasks in order to provide multiple CPUs for the multithreaded tasks. Note that a job step can be allocated different numbers of CPUs on each node or be allocated CPUs not starting at location zero. Therefore one of the options which automatically generate the task binding is recommended. Explicitly specified masks or bindings are only honored when the job step has been allocated every available CPU on the node. Binding a task to a NUMA locality domain means to bind the task to the set of CPUs that belong to the NUMA locality domain or "NUMA node". If NUMA locality domain options are used on systems with no NUMA support, then each socket is considered a locality domain. If the --cpu-bind option is not used, the default binding mode will depend upon Slurm's configuration and the step's resource allocation. If all allocated nodes have the same configured CpuBind mode, that will be used. Otherwise if the job's Partition has a configured CpuBind mode, that will be used. Otherwise if Slurm has a configured TaskPluginParam value, that mode will be used. Otherwise automatic binding will be performed as described below.

Auto Binding

Applies only when task/affinity is enabled. If the job step allocation includes an allocation with a number of sockets, cores, or threads equal to the number of tasks times cpus-per-task, then the tasks will by default be bound to the appropriate resources (auto binding). Disable this mode of operation by explicitly setting "--cpu-bind=none". Use TaskPluginParam=autobind=[threads|cores|sockets] to set a default cpu binding in case "auto binding" doesn't find a match. Automatically bind by task rank. The lowest numbered task on each node is bound to socket (or core or thread) zero, etc. Not supported unless the entire node is allocated to the job.

map_cpu:<list>

Bind by setting CPU masks on tasks (or ranks) as specified where <list> is <cpu_id_for_task_0>,<cpu_id_for_task_1>,... If the number of tasks (or ranks) exceeds the number of elements in this list, elements in the list will be reused as needed starting from the beginning of the list. To simplify support for large task counts, the lists may follow a map with an asterisk and repetition count. For example "map_cpu:0*4,3*4".

mask_cpu:<list>

Bind by setting CPU masks on tasks (or ranks) as specified where <list> is <cpu_mask_for_task_0>,<cpu_mask_for_task_1>,... The mapping is specified for a node and identical mapping is applied to the tasks on every node (i.e. the lowest task ID on each node is mapped to the first mask specified in the list, etc.). CPU masks are always interpreted as hexadecimal values but can be preceded with an optional '0x'. If the number of tasks (or ranks) exceeds the number of elements in this list, elements in the list will be reused as needed starting from the beginning of the list. To simplify support for large task counts, the lists may follow a map with an asterisk and repetition count. For example "mask_cpu:0x0f*4,0xf0*4".

rank_ldom

Bind to a NUMA locality domain by rank. Not supported unless the entire node is allocated to the job.

map_ldom:<list>

Bind by mapping NUMA locality domain IDs to tasks as specified where <list> is <ldom1>,<ldom2>,...<ldomN>. The locality domain IDs are interpreted as decimal values unless they are preceded with '0x' in which case they are interpreted as hexadecimal values. Not supported unless the entire node is allocated to the job.

mask_ldom:<list>

Bind by setting NUMA locality domain masks on tasks as specified where <list> is <mask1>,<mask2>,...<maskN>. NUMA locality domain masks are always interpreted as hexadecimal values but can be preceded with an optional '0x'. Not supported unless the entire node is allocated to the job.

sockets

Automatically generate masks binding tasks to sockets. Only the CPUs on the socket which have been allocated to the job will be used. If the number of tasks differs from the number of allocated sockets this can result in sub-optimal binding.

cores

Automatically generate masks binding tasks to cores. If the number of tasks differs from the number of allocated cores this can result in sub-optimal binding.

threads

Automatically generate masks binding tasks to threads. If the number of tasks differs from the number of allocated threads this can result in sub-optimal binding.

ldoms

Automatically generate masks binding tasks to NUMA locality domains. If the number of tasks differs from the number of allocated locality domains this can result in sub-optimal binding. Show help message for cpu-bind

--cpu-freq =< p1 >[- p2 [: p3 ]]

Request that the job step initiated by this srun command be run at some requested frequency if possible, on the CPUs selected for the step on the compute node(s). p1 can be [#### | low | medium | high | highm1] which will set the frequency scaling_speed to the corresponding value, and set the frequency scaling_governor to UserSpace. See below for definition of the values. p1 can be [Conservative | OnDemand | Performance | PowerSave] which will set the scaling_governor to the corresponding value. The governor has to be in the list set by the slurm.conf option CpuFreqGovernors. When p2 is present, p1 will be the minimum scaling frequency and p2 will be the maximum scaling frequency. p2 can be [#### | medium | high | highm1] p2 must be greater than p1. p3 can be [Conservative | OnDemand | Performance | PowerSave | SchedUtil | UserSpace] which will set the governor to the corresponding value. If p3 is UserSpace, the frequency scaling_speed will be set by a power or energy aware scheduling strategy to a value between p1 and p2 that lets the job run within the site's power goal. The job may be delayed if p1 is higher than a frequency that allows the job to run within the goal. If the current frequency is < min, it will be set to min. Likewise, if the current frequency is > max, it will be set to max. Acceptable values at present include:

####

frequency in kilohertz

Low

the lowest available frequency

High

the highest available frequency

HighM1

(high minus one) will select the next highest available frequency

Medium

attempts to set a frequency in the middle of the available range

Conservative

attempts to use the Conservative CPU governor

OnDemand

attempts to use the OnDemand CPU governor (the default value)

Performance

attempts to use the Performance CPU governor

PowerSave

attempts to use the PowerSave CPU governor

UserSpace

attempts to use the UserSpace CPU governor The following informational environment variable is set in the job step when --cpu-freq option is requested. SLURM_CPU_FREQ_REQ This environment variable can also be used to supply the value for the CPU frequency request if it is set when the 'srun' command is issued. The --cpu-freq on the command line will override the environment variable value. The form on the environment variable is the same as the command line. See the ENVIRONMENT VARIABLES section for a description of the SLURM_CPU_FREQ_REQ variable. NOTE : This parameter is treated as a request, not a requirement. If the job step's node does not support setting the CPU frequency, or the requested value is outside the bounds of the legal frequencies, an error is logged, but the job step is allowed to continue. NOTE : Setting the frequency for just the CPUs of the job step implies that the tasks are confined to those CPUs. If task confinement (i.e. the task/affinity TaskPlugin is enabled, or the task/cgroup TaskPlugin is enabled with "ConstrainCores=yes" set in cgroup.conf) is not configured, this parameter is ignored. NOTE : When the step completes, the frequency and governor of each selected CPU is reset to the previous values. NOTE : When submitting jobs with the --cpu-freq option with linuxproc as the ProctrackType can cause jobs to run too quickly before Accounting is able to poll for job information. As a result not all of accounting information will be present. This option applies to job and step allocations.

--cpus-per-gpu =< ncpus >

Advise Slurm that ensuing job steps will require ncpus processors per allocated GPU. Not compatible with the --cpus-per-task option.

-c , --cpus-per-task =< ncpus >

Request that ncpus be allocated per process . This may be useful if the job is multithreaded and requires more than one CPU per task for optimal performance. Explicitly requesting this option implies --exact . The default is one CPU per process and does not imply --exact . If -c is specified without -n , as many tasks will be allocated per node as possible while satisfying the -c restriction. For instance on a cluster with 8 CPUs per node, a job request for 4 nodes and 3 CPUs per task may be allocated 3 or 6 CPUs per node (1 or 2 tasks per node) depending upon resource consumption by other jobs. Such a job may be unable to execute more than a total of 4 tasks. WARNING : There are configurations and options interpreted differently by job and job step requests which can result in inconsistencies for this option. For example srun -c2 --threads-per-core=1 prog may allocate two cores for the job, but if each of those cores contains two threads, the job allocation will include four CPUs. The job step allocation will then launch two threads per CPU for a total of two tasks. WARNING : When srun is executed from within salloc or sbatch, there are configurations and options which can result in inconsistent allocations when -c has a value greater than -c on salloc or sbatch. The number of cpus per task specified for salloc or sbatch is not automatically inherited by srun and, if desired, must be requested again, either by specifying --cpus-per-task when calling srun, or by setting the SRUN_CPUS_PER_TASK environment variable. This option applies to job and step allocations.

--deadline =< OPT >

remove the job if no ending is possible before this deadline (start > (deadline - time[-min])). Default is no deadline. Valid time formats are: HH:MM[:SS] [AM|PM] MMDD[YY] or MM/DD[/YY] or MM.DD[.YY] MM/DD[/YY]-HH:MM[:SS] YYYY-MM-DD[THH:MM[:SS]]] now[+ count [seconds(default)|minutes|hours|days|weeks]] This option applies only to job allocations.

--delay-boot =< minutes >

Do not reboot nodes in order to satisfied this job's feature specification if the job has been eligible to run for less than this time period. If the job has waited for less than the specified period, it will use only nodes which already have the specified features. The argument is in units of minutes. A default value may be set by a system administrator using the delay_boot option of the SchedulerParameters configuration parameter in the slurm.conf file, otherwise the default value is zero (no delay). This option applies only to job allocations.

-d , --dependency =< dependency_list >

Defer the start of this job until the specified dependencies have been satisfied. This option does not apply to job steps (executions of srun within an existing salloc or sbatch allocation) only to job allocations. < dependency_list > is of the form < type:job_id[:job_id][,type:job_id[:job_id]] > or < type:job_id[:job_id][?type:job_id[:job_id]] >. All dependencies must be satisfied if the "," separator is used. Any dependency may be satisfied if the "?" separator is used. Only one separator may be used. For instance: -d afterok:20:21,afterany:23 means that the job can run only after a 0 return code of jobs 20 and 21 AND the completion of job 23. However: -d afterok:20:21?afterany:23 means that any of the conditions (afterok:20 OR afterok:21 OR afterany:23) will be enough to release the job. Many jobs can share the same dependency and these jobs may even belong to different users. The value may be changed after job submission using the scontrol command. Dependencies on remote jobs are allowed in a federation. Once a job dependency fails due to the termination state of a preceding job, the dependent job will never be run, even if the preceding job is requeued and has a different termination state in a subsequent execution. This option applies to job allocations.

after:job_id[[+time][:jobid[+time]...]]

After the specified jobs start or are cancelled and 'time' in minutes from job start or cancellation happens, this job can begin execution. If no 'time' is given then there is no delay after start or cancellation.

afterany:job_id[:jobid...]

This job can begin execution after the specified jobs have terminated. This is the default dependency type.

afterburstbuffer:job_id[:jobid...]

This job can begin execution after the specified jobs have terminated and any associated burst buffer stage out operations have completed.

aftercorr:job_id[:jobid...]

A task of this job array can begin execution after the corresponding task ID in the specified job has completed successfully (ran to completion with an exit code of zero).

afternotok:job_id[:jobid...]

This job can begin execution after the specified jobs have terminated in some failed state (non-zero exit code, node failure, timed out, etc).

afterok:job_id[:jobid...]

This job can begin execution after the specified jobs have successfully executed (ran to completion with an exit code of zero).

singleton

This job can begin execution after any previously launched jobs sharing the same job name and user have terminated. In other words, only one job by that name and owned by that user can be running or suspended at any point in time. In a federation, a singleton dependency must be fulfilled on all clusters unless DependencyParameters=disable_remote_singleton is used in slurm.conf.

-X , --disable-status

Disable the display of task status when srun receives a single SIGINT (Ctrl-C). Instead immediately forward the SIGINT to the running job. Without this option a second Ctrl-C in one second is required to forcibly terminate the job and srun will immediately exit. May also be set via the environment variable SLURM_DISABLE_STATUS. This option applies to job allocations.

-m , --distribution ={*|block|cyclic|arbitrary|plane=< size >}[:{*|block|cyclic|fcyclic}[:{*|block|cyclic|fcyclic}]][,{Pack|NoPack}]

Specify alternate distribution methods for remote processes. For job allocation, this sets environment variables that will be used by subsequent srun requests. Task distribution affects job allocation at the last stage of the evaluation of available resources by the cons_res and cons_tres plugins. Consequently, other options (e.g. --ntasks-per-node, --cpus-per-task) may affect resource selection prior to task distribution. To ensure a specific task distribution jobs should have access to whole nodes, for instance by using the --exclusive flag. This option controls the distribution of tasks to the nodes on which resources have been allocated, and the distribution of those resources to tasks for binding (task affinity). The first distribution method (before the first ":") controls the distribution of tasks to nodes. The second distribution method (after the first ":") controls the distribution of allocated CPUs across sockets for binding to tasks. The third distribution method (after the second ":") controls the distribution of allocated CPUs across cores for binding to tasks. The second and third distributions apply only if task affinity is enabled. The third distribution is supported only if the task/cgroup plugin is configured. The default value for each distribution type is specified by *. Note that with select/cons_res and select/cons_tres, the number of CPUs allocated to each socket and node may be different. Refer to the mc_support document for more information on resource allocation, distribution of tasks to nodes, and binding of tasks to CPUs. First distribution method (distribution of tasks across nodes): Use the default method for distributing tasks to nodes (block).

block

The block distribution method will distribute tasks to a node such that consecutive tasks share a node. For example, consider an allocation of three nodes each with two cpus. A four-task block distribution request will distribute those tasks to the nodes with tasks one and two on the first node, task three on the second node, and task four on the third node. Block distribution is the default behavior if the number of tasks exceeds the number of allocated nodes.

cyclic

The cyclic distribution method will distribute tasks to a node such that consecutive tasks are distributed over consecutive nodes (in a round-robin fashion). For example, consider an allocation of three nodes each with two cpus. A four-task cyclic distribution request will distribute those tasks to the nodes with tasks one and four on the first node, task two on the second node, and task three on the third node. Note that when SelectType is select/cons_res, the same number of CPUs may not be allocated on each node. Task distribution will be round-robin among all the nodes with CPUs yet to be assigned to tasks. Cyclic distribution is the default behavior if the number of tasks is no larger than the number of allocated nodes.

plane

The tasks are distributed in blocks of size < size >. The size must be given or SLURM_DIST_PLANESIZE must be set. The number of tasks distributed to each node is the same as for cyclic distribution, but the taskids assigned to each node depend on the plane size. Additional distribution specifications cannot be combined with this option. For more details (including examples and diagrams), please see the mc_support document and https://slurm.schedmd.com/dist_plane.html

arbitrary

The arbitrary method of distribution will allocate processes in-order as listed in file designated by the environment variable SLURM_HOSTFILE. If this variable is listed it will over ride any other method specified. If not set the method will default to block. Inside the hostfile must contain at minimum the number of hosts requested and be one per line or comma separated. If specifying a task count ( -n , --ntasks =< number >), your tasks will be laid out on the nodes in the order of the file. NOTE : The arbitrary distribution option on a job allocation only controls the nodes to be allocated to the job and not the allocation of CPUs on those nodes. This option is meant primarily to control a job step's task layout in an existing job allocation for the srun command. NOTE : If the number of tasks is given and a list of requested nodes is also given, the number of nodes used from that list will be reduced to match that of the number of tasks if the number of nodes in the list is greater than the number of tasks. The block distribution method will distribute allocated CPUs consecutively from the same socket for binding to tasks, before using the next consecutive socket.

cyclic

The cyclic distribution method will distribute allocated CPUs for binding to a given task consecutively from the same socket, and from the next consecutive socket for the next task, in a round-robin fashion across sockets. Tasks requiring more than one CPU will have all of those CPUs allocated on a single socket if possible. NOTE : In nodes with hyper-threading enabled, a task not requesting full cores may be distributed across sockets. This can be avoided by specifying --ntasks-per-core=1 , which forces tasks to allocate full cores.

fcyclic

The fcyclic distribution method will distribute allocated CPUs for binding to tasks from consecutive sockets in a round-robin fashion across the sockets. Tasks requiring more than one CPU will have each CPUs allocated in a cyclic fashion across sockets. Use the default method for distributing CPUs across cores (inherited from second distribution method).

block

The block distribution method will distribute allocated CPUs consecutively from the same core for binding to tasks, before using the next consecutive core.

cyclic

The cyclic distribution method will distribute allocated CPUs for binding to a given task consecutively from the same core, and from the next consecutive core for the next task, in a round-robin fashion across cores.

fcyclic

The fcyclic distribution method will distribute allocated CPUs for binding to tasks from consecutive cores in a round-robin fashion across the cores. Rather than evenly distributing a job step's tasks evenly across its allocated nodes, pack them as tightly as possible on the nodes. This only applies when the "block" task distribution method is used.

NoPack

Rather than packing a job step's tasks as tightly as possible on the nodes, distribute them evenly. This user option will supersede the SelectTypeParameters CR_Pack_Nodes configuration parameter.

This option applies to job and step allocations.

--epilog ={none|< executable >}

srun will run executable just after the job step completes. The command line arguments for executable will be the command and arguments of the job step. If none is specified, then no srun epilog will be run. This parameter overrides the SrunEpilog parameter in slurm.conf. This parameter is completely independent from the Epilog parameter in slurm.conf. This option applies to job allocations.

-e , --error =< filename_pattern >

Specify how stderr is to be redirected. By default in interactive mode, redirects stderr to the same file as stdout, if one is specified. The --error option is provided to allow stdout and stderr to be redirected to different locations. See IO Redirection below for more options. If the specified file already exists, it will be overwritten. This option applies to job and step allocations.

--exact

Allow a step access to only the resources requested for the step. By default, all non-GRES resources on each node in the step allocation will be used. This option only applies to step allocations. NOTE : Parallel steps will either be blocked or rejected until requested step resources are available unless --overlap is specified. Job resources can be held after the completion of an srun command while Slurm does job cleanup. Step epilogs and/or SPANK plugins can further delay the release of step resources.

-x , --exclude ={< host1 [,< host2 >...]|< filename >}

Request that a specific list of hosts not be included in the resources allocated to this job. The host list will be assumed to be a filename if it contains a "/" character. This option applies to job and step allocations.

--exclusive [={user|mcs}]

This option applies to job and job step allocations, and has two slightly different meanings for each one. When used to initiate a job, the job allocation cannot share nodes with other running jobs (or just other users with the "=user" option or "=mcs" option). If user/mcs are not specified (i.e. the job allocation can not share nodes with other running jobs), the job is allocated all CPUs and GRES on all nodes in the allocation, but is only allocated as much memory as it requested. This is by design to support gang scheduling, because suspended jobs still reside in memory. To request all the memory on a node, use --mem=0 . The default shared/exclusive behavior depends on system configuration and the partition's OverSubscribe option takes precedence over the job's option. NOTE : Since shared GRES (MPS) cannot be allocated at the same time as a sharing GRES (GPU) this option only allocates all sharing GRES and no underlying shared GRES. This option can also be used when initiating more than one job step within an existing resource allocation (default), where you want separate processors to be dedicated to each job step. If sufficient processors are not available to initiate the job step, it will be deferred. This can be thought of as providing a mechanism for resource management to the job within its allocation ( --exact implied). The exclusive allocation of CPUs applies to job steps by default, but --exact is NOT the default. In other words, the default behavior is this: job steps will not share CPUs, but job steps will be allocated all CPUs available to the job on all nodes allocated to the steps. In order to share the resources use the --overlap option. NOTE : This option is mutually exclusive with --oversubscribe . See EXAMPLE below.

--export ={[ALL,]< environment_variables >|ALL|NONE}

Identify which environment variables from the submission environment are propagated to the launched application.

--export =ALL

Default mode if --export is not specified. All of the user's environment will be loaded from the caller's environment.

--export =NONE

None of the user environment will be defined. User must use absolute path to the binary to be executed that will define the environment. User can not specify explicit environment variables with "NONE". This option is particularly important for jobs that are submitted on one cluster and execute on a different cluster (e.g. with different paths). To avoid steps inheriting environment export settings (e.g. "NONE") from sbatch command, either set --export =ALL or the environment variable SLURM_EXPORT_ENV should be set to "ALL".

--export =[ALL,]< environment_variables >

Exports all SLURM* environment variables along with explicitly defined variables. Multiple environment variable names should be comma separated. Environment variable names may be specified to propagate the current value (e.g. "--export=EDITOR") or specific values may be exported (e.g. "--export=EDITOR=/bin/emacs"). If "ALL" is specified, then all user environment variables will be loaded and will take precedence over any explicitly given environment variables.

Example: --export =EDITOR,ARG1=test

In this example, the propagated environment will only contain the variable EDITOR from the user's environment, SLURM_* environment variables, and ARG1 =test.

Example: --export =ALL,EDITOR=/bin/emacs

There are two possible outcomes for this example. If the caller has the EDITOR environment variable defined, then the job's environment will inherit the variable from the caller's environment. If the caller doesn't have an environment variable defined for EDITOR , then the job's environment will use the value given by --export .

--extra =< string >

An arbitrary string enclosed in double quotes if using spaces or some special characters.

-B , --extra-node-info =< sockets >[: cores [: threads ]]

Restrict node selection to nodes with at least the specified number of sockets, cores per socket and/or threads per core. NOTE : These options do not specify the resource allocation size. Each value specified is considered a minimum. An asterisk (*) can be used as a placeholder indicating that all available resources of that type are to be utilized. Values can also be specified as min-max. The individual levels can also be specified in separate options if desired: --sockets-per-node =< sockets > --cores-per-socket =< cores > --threads-per-core =< threads > If task/affinity plugin is enabled, then specifying an allocation in this manner also sets a default --cpu-bind option of threads if the -B option specifies a thread count, otherwise an option of cores if a core count is specified, otherwise an option of sockets . If SelectType is configured to select/cons_res, it must have a parameter of CR_Core, CR_Core_Memory, CR_Socket, or CR_Socket_Memory for this option to be honored. If not specified, the scontrol show job will display 'ReqS:C:T=*:*:*'. This option applies to job allocations. NOTE : This option is mutually exclusive with --hint , --threads-per-core and --ntasks-per-core . NOTE : If the number of sockets, cores and threads were all specified, the number of nodes was specified (as a fixed number, not a range) and the number of tasks was NOT specified, srun will implicitly calculate the number of tasks as one task per thread.

--gid =< group >

If srun is run as root, and the --gid option is used, submit the job with group 's group access permissions. group may be the group name or the numerical group ID. This option applies to job allocations.

--gpu-bind =[verbose,]< type >

Bind tasks to specific GPUs. By default every spawned task can access every GPU allocated to the step. If "verbose," is specified before < type >, then print out GPU binding debug information to the stderr of the tasks. GPU binding is ignored if there is only one task. Supported type options:

closest

Bind each task to the GPU(s) which are closest. In a NUMA environment, each task may be bound to more than one GPU (i.e. all GPUs in that NUMA environment).

map_gpu:<list>

Bind by setting GPU masks on tasks (or ranks) as specified where <list> is <gpu_id_for_task_0>,<gpu_id_for_task_1>,... GPU IDs are interpreted as decimal values. If the number of tasks (or ranks) exceeds the number of elements in this list, elements in the list will be reused as needed starting from the beginning of the list. To simplify support for large task counts, the lists may follow a map with an asterisk and repetition count. For example "map_gpu:0*4,1*4". If the task/cgroup plugin is used and ConstrainDevices is set in cgroup.conf, then the GPU IDs are zero-based indexes relative to the GPUs allocated to the job (e.g. the first GPU is 0, even if the global ID is 3). Otherwise, the GPU IDs are global IDs, and all GPUs on each node in the job should be allocated for predictable binding results.

mask_gpu:<list>

Bind by setting GPU masks on tasks (or ranks) as specified where <list> is <gpu_mask_for_task_0>,<gpu_mask_for_task_1>,... The mapping is specified for a node and identical mapping is applied to the tasks on every node (i.e. the lowest task ID on each node is mapped to the first mask specified in the list, etc.). GPU masks are always interpreted as hexadecimal values but can be preceded with an optional '0x'. To simplify support for large task counts, the lists may follow a map with an asterisk and repetition count. For example "mask_gpu:0x0f*4,0xf0*4". If the task/cgroup plugin is used and ConstrainDevices is set in cgroup.conf, then the GPU IDs are zero-based indexes relative to the GPUs allocated to the job (e.g. the first GPU is 0, even if the global ID is 3). Otherwise, the GPU IDs are global IDs, and all GPUs on each node in the job should be allocated for predictable binding results.

none

Do not bind tasks to GPUs (turns off binding if --gpus-per-task is requested).

per_task:<gpus_per_task>

Each task will be bound to the number of gpus specified in <gpus_per_task> . Gpus are assigned in order to tasks. The first task will be assigned the first x number of gpus on the node etc.

single:<tasks_per_gpu>

Like --gpu-bind=closest , except that each task can only be bound to a single GPU, even when it can be bound to multiple GPUs that are equally close. The GPU to bind to is determined by <tasks_per_gpu> , where the first <tasks_per_gpu> tasks are bound to the first GPU available, the second <tasks_per_gpu> tasks are bound to the second GPU available, etc. This is basically a block distribution of tasks onto available GPUs, where the available GPUs are determined by the socket affinity of the task and the socket affinity of the GPUs as specified in gres.conf's Cores parameter.

--gpu-freq =[< type ]= value >[,< type = value >][,verbose]

Request that GPUs allocated to the job are configured with specific frequency values. This option can be used to independently configure the GPU and its memory frequencies. After the job is completed, the frequencies of all affected GPUs will be reset to the highest possible values. In some cases, system power caps may override the requested values. The field type can be "memory". If type is not specified, the GPU frequency is implied. The value field can either be "low", "medium", "high", "highm1" or a numeric value in megahertz (MHz). If the specified numeric value is not possible, a value as close as possible will be used. See below for definition of the values. The verbose option causes current GPU frequency information to be logged. Examples of use include "--gpu-freq=medium,memory=high" and "--gpu-freq=450". Supported value definitions:

low

the lowest available frequency.

medium

attempts to set a frequency in the middle of the available range.

high

the highest available frequency.

highm1

(high minus one) will select the next highest available frequency.

-G , --gpus =[ type :]< number >

Specify the total number of GPUs required for the job. An optional GPU type specification can be supplied. See also the --gpus-per-node , --gpus-per-socket and --gpus-per-task options. NOTE : The allocation has to contain at least one GPU per node.

--gpus-per-node =[ type :]< number >

Specify the number of GPUs required for the job on each node included in the job's resource allocation. An optional GPU type specification can be supplied. For example "--gpus-per-node=volta:3". Multiple options can be requested in a comma separated list, for example: "--gpus-per-node=volta:3,kepler:1". See also the --gpus , --gpus-per-socket and --gpus-per-task options.

--gpus-per-socket =[ type :]< number >

Specify the number of GPUs required for the job on each socket included in the job's resource allocation. An optional GPU type specification can be supplied. For example "--gpus-per-socket=volta:3". Multiple options can be requested in a comma separated list, for example: "--gpus-per-socket=volta:3,kepler:1". Requires job to specify a sockets per node count ( --sockets-per-node). See also the --gpus , --gpus-per-node and --gpus-per-task options. This option applies to job allocations.

--gpus-per-task =[ type :]< number >

Specify the number of GPUs required for the job on each task to be spawned in the job's resource allocation. An optional GPU type specification can be supplied. For example "--gpus-per-task=volta:1". Multiple options can be requested in a comma separated list, for example: "--gpus-per-task=volta:3,kepler:1". See also the --gpus , --gpus-per-socket and --gpus-per-node options. This option requires an explicit task count, e.g. -n, --ntasks or "--gpus=X --gpus-per-task=Y" rather than an ambiguous range of nodes with -N, --nodes. This option will implicitly set --gpu-bind=per_task:<gpus_per_task>, but that can be overridden with an explicit --gpu-bind specification.

--gres =< list >

Specifies a comma-delimited list of generic consumable resources. The format for each entry in the list is "name[[:type]:count]". The name is the type of consumable resource (e.g. gpu). The type is an optional classification for the resource (e.g. a100). The count is the number of those resources with a default value of 1. The count can have a suffix of "k" or "K" (multiple of 1024), "m" or "M" (multiple of 1024 x 1024), "g" or "G" (multiple of 1024 x 1024 x 1024), "t" or "T" (multiple of 1024 x 1024 x 1024 x 1024), "p" or "P" (multiple of 1024 x 1024 x 1024 x 1024 x 1024). The specified resources will be allocated to the job on each node. The available generic consumable resources is configurable by the system administrator. A list of available generic consumable resources will be printed and the command will exit if the option argument is "help". Examples of use include "--gres=gpu:2", "--gres=gpu:kepler:2", and "--gres=help". NOTE : This option applies to job and step allocations. By default, a job step is allocated all of the generic resources that have been requested by the job, except those implicitly requested when a job is exclusive. To change the behavior so that each job step is allocated no generic resources, explicitly set the value of --gres to specify zero counts for each generic resource OR set "--gres=none" OR set the SLURM_STEP_GRES environment variable to "none".

--gres-flags =< type >

Specify generic resource task binding options.

disable-binding

Disable filtering of CPUs with respect to generic resource locality. This option is currently required to use more CPUs than are bound to a GRES (i.e. if a GPU is bound to the CPUs on one socket, but resources on more than one socket are required to run the job). This option may permit a job to be allocated resources sooner than otherwise possible, but may result in lower job performance. This option applies to job allocations. NOTE : This option is specific to SelectType=cons_res .

enforce-binding

The only CPUs available to the job/step will be those bound to the selected GRES (i.e. the CPUs identified in the gres.conf file will be strictly enforced). This option may result in delayed initiation of a job. For example a job requiring two GPUs and one CPU will be delayed until both GPUs on a single socket are available rather than using GPUs bound to separate sockets, however, the application performance may be improved due to improved communication speed. Requires the node to be configured with more than one socket and resource filtering will be performed on a per-socket basis. NOTE : Job steps that don't use --exact will not be affected. NOTE : This option is specific to SelectType=cons_tres for job allocations.

--het-group =< expr >

Identify each component in a heterogeneous job allocation for which a step is to be created. Applies only to srun commands issued inside a salloc allocation or sbatch script. < expr > is a set of integers corresponding to one or more options offsets on the salloc or sbatch command line. Examples: "--het-group=2", "--het-group=0,4", "--het-group=1,3-5". The default value is --het-group=0.

--hint =< type >

Bind tasks according to application hints. NOTE : This option cannot be used in conjunction with any of --ntasks-per-core , --threads-per-core , --cpu-bind (other than --cpu-bind=verbose ) or -B . If --hint is specified as a command line argument, it will take precedence over the environment.

compute_bound

Select settings for compute bound applications: use all cores in each socket, one thread per core.

memory_bound

Select settings for memory bound applications: use only one core in each socket, one thread per core.

[no]multithread

[don't] use extra threads with in-core multi-threading which can benefit communication intensive applications. Only supported with the task/affinity plugin. show this help message

This option applies to job allocations.

-H, --hold

Specify the job is to be submitted in a held state (priority of zero). A held job can now be released using scontrol to reset its priority (e.g. " scontrol release <job_id> "). This option applies to job allocations.

-I , --immediate [=< seconds >]

exit if resources are not available within the time period specified. If no argument is given (seconds defaults to 1), resources must be available immediately for the request to succeed. If defer is configured in SchedulerParameters and seconds=1 the allocation request will fail immediately; defer conflicts and takes precedence over this option. By default, --immediate is off, and the command will block until resources become available. Since this option's argument is optional, for proper parsing the single letter option must be followed immediately with the value and not include a space between them. For example "-I60" and not "-I 60". This option applies to job and step allocations.

-i , --input =< mode >

Specify how stdin is to be redirected. By default, redirects stdin from the terminal to all tasks. See IO Redirection below for more options. For OS X, the poll() function does not support stdin, so input from a terminal is not possible. This option applies to job and step allocations.

-J , --job-name =< jobname >

Specify a name for the job. The specified name will appear along with the job id number when querying running jobs on the system. The default is the supplied executable program's name. NOTE : This information may be written to the slurm_jobacct.log file. This file is space delimited so if a space is used in the jobname name it will cause problems in properly displaying the contents of the slurm_jobacct.log file when the sacct command is used. This option applies to job and step allocations.

--jobid =< jobid >

Initiate a job step under an already allocated job with job id id . Using this option will cause srun to behave exactly as if the SLURM_JOB_ID environment variable was set. This option applies to step allocations.

-K , --kill-on-bad-exit [=0|1]

Controls whether or not to terminate a step if any task exits with a non-zero exit code. If this option is not specified, the default action will be based upon the Slurm configuration parameter of KillOnBadExit . If this option is specified, it will take precedence over KillOnBadExit . An option argument of zero will not terminate the job. A non-zero argument or no argument will terminate the job. Note: This option takes precedence over the -W , --wait option to terminate the job immediately if a task exits with a non-zero exit code. Since this option's argument is optional, for proper parsing the single letter option must be followed immediately with the value and not include a space between them. For example "-K1" and not "-K 1".

-l , --label

Prepend task number to lines of stdout/err. The --label option will prepend lines of output with the remote task id. This option applies to step allocations.

-L , --licenses =< license >[@ db ][: count ][, license [@ db ][: count ]...]

Specification of licenses (or other resources available on all nodes of the cluster) which must be allocated to this job. License names can be followed by a colon and count (the default count is one). Multiple license names should be comma separated (e.g. "--licenses=foo:4,bar"). This option applies to job allocations. NOTE : When submitting heterogeneous jobs, license requests may only be made on the first component job. For example "srun -L ansys:2 : myexecutable".

--mail-type =< type >

Notify user by email when certain event types occur. Valid type values are NONE, BEGIN, END, FAIL, REQUEUE, ALL (equivalent to BEGIN, END, FAIL, INVALID_DEPEND, REQUEUE, and STAGE_OUT), INVALID_DEPEND (dependency never satisfied), STAGE_OUT (burst buffer stage out and teardown completed), TIME_LIMIT, TIME_LIMIT_90 (reached 90 percent of time limit), TIME_LIMIT_80 (reached 80 percent of time limit), and TIME_LIMIT_50 (reached 50 percent of time limit). Multiple type values may be specified in a comma separated list. The user to be notified is indicated with --mail-user . This option applies to job allocations.

--mail-user =< user >

User to receive email notification of state changes as defined by --mail-type . The default value is the submitting user. This option applies to job allocations.

--mcs-label =< mcs >

Used only when the mcs/group plugin is enabled. This parameter is a group among the groups of the user. Default value is calculated by the Plugin mcs if it's enabled. This option applies to job allocations.

--mem =< size >[ units ]

Specify the real memory required per node. Default units are megabytes. Different units can be specified using the suffix [K|M|G|T]. Default value is DefMemPerNode and the maximum value is MaxMemPerNode . If configured, both of parameters can be seen using the scontrol show config command. This parameter would generally be used if whole nodes are allocated to jobs ( SelectType=select/linear ). Specifying a memory limit of zero for a job step will restrict the job step to the amount of memory allocated to the job, but not remove any of the job's memory allocation from being available to other job steps. Also see --mem-per-cpu and --mem-per-gpu . The --mem , --mem-per-cpu and --mem-per-gpu options are mutually exclusive. If --mem , --mem-per-cpu or --mem-per-gpu are specified as command line arguments, then they will take precedence over the environment (potentially inherited from salloc or sbatch ). NOTE : A memory size specification of zero is treated as a special case and grants the job access to all of the memory on each node for newly submitted jobs and all available job memory to new job steps. NOTE : Enforcement of memory limits currently relies upon the task/cgroup plugin or enabling of accounting, which samples memory use on a periodic basis (data need not be stored, just collected). In both cases memory use is based upon the job's Resident Set Size (RSS). A task may exceed the memory limit until the next periodic accounting sample. This option applies to job and step allocations.

--mem-bind =[{quiet|verbose},]< type >

Bind tasks to memory. Used only when the task/affinity plugin is enabled and the NUMA memory functions are available. Note that the resolution of CPU and memory binding may differ on some architectures. For example, CPU binding may be performed at the level of the cores within a processor while memory binding will be performed at the level of nodes, where the definition of "nodes" may differ from system to system. By default no memory binding is performed; any task using any CPU can use any memory. This option is typically used to ensure that each task is bound to the memory closest to its assigned CPU. The use of any type other than "none" or "local" is not recommended. If you want greater control, try running a simple test code with the options "--cpu-bind=verbose,none --mem-bind=verbose,none" to determine the specific configuration. NOTE : To have Slurm always report on the selected memory binding for all commands executed in a shell, you can enable verbose mode by setting the SLURM_MEM_BIND environment variable value to "verbose". The following informational environment variables are set when --mem-bind is in use: SLURM_MEM_BIND_LIST SLURM_MEM_BIND_PREFER SLURM_MEM_BIND_SORT SLURM_MEM_BIND_TYPE SLURM_MEM_BIND_VERBOSE See the ENVIRONMENT VARIABLES section for a more detailed description of the individual SLURM_MEM_BIND* variables. Supported options include: show this help message

local

Use memory local to the processor in use

map_mem:<list>

Bind by setting memory masks on tasks (or ranks) as specified where <list> is <numa_id_for_task_0>,<numa_id_for_task_1>,... The mapping is specified for a node and identical mapping is applied to the tasks on every node (i.e. the lowest task ID on each node is mapped to the first ID specified in the list, etc.). NUMA IDs are interpreted as decimal values unless they are preceded with '0x' in which case they interpreted as hexadecimal values. If the number of tasks (or ranks) exceeds the number of elements in this list, elements in the list will be reused as needed starting from the beginning of the list. To simplify support for large task counts, the lists may follow a map with an asterisk and repetition count. For example "map_mem:0x0f*4,0xf0*4". For predictable binding results, all CPUs for each node in the job should be allocated to the job.

mask_mem:<list>

Bind by setting memory masks on tasks (or ranks) as specified where <list> is <numa_mask_for_task_0>,<numa_mask_for_task_1>,... The mapping is specified for a node and identical mapping is applied to the tasks on every node (i.e. the lowest task ID on each node is mapped to the first mask specified in the list, etc.). NUMA masks are always interpreted as hexadecimal values. Note that masks must be preceded with a '0x' if they don't begin with [0-9] so they are seen as numerical values. If the number of tasks (or ranks) exceeds the number of elements in this list, elements in the list will be reused as needed starting from the beginning of the list. To simplify support for large task counts, the lists may follow a mask with an asterisk and repetition count. For example "mask_mem:0*4,1*4". For predictable binding results, all CPUs for each node in the job should be allocated to the job.

no[ne]

don't bind tasks to memory (default)

nosort

avoid sorting free cache pages (default, LaunchParameters configuration parameter can override this default)

p[refer]

Prefer use of first specified NUMA node, but permit
use of other available NUMA nodes.

q[uiet]

quietly bind before task runs (default) bind by task rank (not recommended) sort free cache pages (run zonesort on Intel KNL nodes)

v[erbose]

verbosely report binding before task runs

This option applies to job and step allocations.

--mem-per-cpu =< size >[ units ]

Minimum memory required per usable allocated CPU. Default units are megabytes. Different units can be specified using the suffix [K|M|G|T]. The default value is DefMemPerCPU and the maximum value is MaxMemPerCPU (see exception below). If configured, both parameters can be seen using the scontrol show config command. Note that if the job's --mem-per-cpu value exceeds the configured MaxMemPerCPU , then the user's limit will be treated as a memory limit per task; --mem-per-cpu will be reduced to a value no larger than MaxMemPerCPU ; --cpus-per-task will be set and the value of --cpus-per-task multiplied by the new --mem-per-cpu value will equal the original --mem-per-cpu value specified by the user. This parameter would generally be used if individual processors are allocated to jobs ( SelectType=select/cons_res ). If resources are allocated by core, socket, or whole nodes, then the number of CPUs allocated to a job may be higher than the task count and the value of --mem-per-cpu should be adjusted accordingly. Specifying a memory limit of zero for a job step will restrict the job step to the amount of memory allocated to the job, but not remove any of the job's memory allocation from being available to other job steps. Also see --mem and --mem-per-gpu . The --mem , --mem-per-cpu and --mem-per-gpu options are mutually exclusive. NOTE : If the final amount of memory requested by a job can't be satisfied by any of the nodes configured in the partition, the job will be rejected. This could happen if --mem-per-cpu is used with the --exclusive option for a job allocation and --mem-per-cpu times the number of CPUs on a node is greater than the total memory of that node. NOTE : This applies to usable allocated CPUs in a job allocation. This is important when more than one thread per core is configured. If a job requests --threads-per-core with fewer threads on a core than exist on the core (or --hint=nomultithread which implies --threads-per-core=1), the job will be unable to use those extra threads on the core and those threads will not be included in the memory per CPU calculation. But if the job has access to all threads on the core, those threads will be included in the memory per CPU calculation even if the job did not explicitly request those threads. In the following examples, each core has two threads. In this first example, two tasks can run on separate hyperthreads in the same core because --threads-per-core is not used. The third task uses both threads of the second core. The allocated memory per cpu includes all threads: $ salloc -n3 --mem-per-cpu=100 salloc: Granted job allocation 17199 $ sacct -j $SLURM_JOB_ID -X -o jobid%7,reqtres%35,alloctres%35 JobID ReqTRES AllocTRES ------- ----------------------------------- ----------------------------------- 17199 billing=3,cpu=3,mem=300M,node=1 billing=4,cpu=4,mem=400M,node=1 In this second example, because of --threads-per-core=1, each task is allocated an entire core but is only able to use one thread per core. Allocated CPUs includes all threads on each core. However, allocated memory per cpu includes only the usable thread in each core. $ salloc -n3 --mem-per-cpu=100 --threads-per-core=1 salloc: Granted job allocation 17200 $ sacct -j $SLURM_JOB_ID -X -o jobid%7,reqtres%35,alloctres%35 JobID ReqTRES AllocTRES ------- ----------------------------------- ----------------------------------- 17200 billing=3,cpu=3,mem=300M,node=1 billing=6,cpu=6,mem=300M,node=1

--mem-per-gpu =< size >[ units ]

Minimum memory required per allocated GPU. Default units are megabytes. Different units can be specified using the suffix [K|M|G|T]. Default value is DefMemPerGPU and is available on both a global and per partition basis. If configured, the parameters can be seen using the scontrol show config and scontrol show partition commands. Also see --mem . The --mem , --mem-per-cpu and --mem-per-gpu options are mutually exclusive.

--mincpus =< n >

Specify a minimum number of logical cpus/processors per node. This option applies to job allocations.

--mpi =< mpi_type >

Identify the type of MPI to be used. May result in unique initiation procedures.

cray_shasta

To enable Cray PMI support. This is for applications built with the Cray Programming Environment. The PMI Control Port can be specified with the --resv-ports option or with the MpiParams = ports =< port range > parameter in your slurm.conf. This plugin does not have support for heterogeneous jobs. Support for cray_shasta is included by default. Lists available mpi types to choose from. To enable PMI2 support. The PMI2 support in Slurm works only if the MPI implementation supports it, in other words if the MPI has the PMI2 interface implemented. The --mpi=pmi2 will load the library lib/slurm/mpi_pmi2.so which provides the server side functionality but the client side must implement PMI2_Init() and the other interface calls. To enable PMIx support ( https://pmix.github.io). The PMIx support in Slurm can be used to launch parallel applications (e.g. MPI) if it supports PMIx, PMI2 or PMI1. Slurm must be configured with pmix support by passing "--with-pmix=<PMIx installation path>" option to its "./configure" script. At the time of writing PMIx is supported in Open MPI starting from version 2.0. PMIx also supports backward compatibility with PMI1 and PMI2 and can be used if MPI was configured with PMI2/PMI1 support pointing to the PMIx library ("libpmix"). If MPI supports PMI1/PMI2 but doesn't provide the way to point to a specific implementation, a hack'ish solution leveraging LD_PRELOAD can be used to force "libpmix" usage. No special MPI processing. This is the default and works with many other versions of MPI.

This option applies to step allocations.

--msg-timeout =< seconds >

Modify the job launch message timeout. The default value is MessageTimeout in the Slurm configuration file slurm.conf. Changes to this are typically not recommended, but could be useful to diagnose problems. This option applies to job allocations.

--multi-prog

Run a job with different programs and different arguments for each task. In this case, the executable program specified is actually a configuration file specifying the executable and arguments for each task. See MULTIPLE PROGRAM CONFIGURATION below for details on the configuration file contents. This option applies to step allocations.

--network =< type >

Specify information pertaining to the switch or network. The interpretation of type is system dependent. This option is supported when running Slurm on a Cray natively. It is used to request using Network Performance Counters. Only one value per request is valid. All options are case in-sensitive. In this configuration supported values include:

system

Use the system-wide network performance counters. Only nodes requested will be marked in use for the job allocation. If the job does not fill up the entire system the rest of the nodes are not able to be used by other jobs using NPC, if idle their state will appear as PerfCnts. These nodes are still available for other jobs not using NPC.

blade

Use the blade network performance counters. Only nodes requested will be marked in use for the job allocation. If the job does not fill up the entire blade(s) allocated to the job those blade(s) are not able to be used by other jobs using NPC, if idle their state will appear as PerfCnts. These nodes are still available for other jobs not using NPC. In all cases the job allocation request must specify the --exclusive option and the step cannot specify the --overlap option. Otherwise the request will be denied. Also with any of these options steps are not allowed to share blades, so resources would remain idle inside an allocation if the step running on a blade does not take up all the nodes on the blade. The network option is also available on systems with HPE Slingshot networks. It can be used to request a job VNI (to be used for communication between job steps in a job). It also can be used to override the default network resources allocated for the job step. Multiple values may be specified in a comma-separated list.

tcs =< class1 >[:< class2 >]...

Set of traffic classes to configure for applications. Supported traffic classes are DEDICATED_ACCESS, LOW_LATENCY, BULK_DATA, and BEST_EFFORT. The traffic classes may also be specified as TC_DEDICATED_ACCESS, TC_LOW_LATENCY, TC_BULK_DATA, and TC_BEST_EFFORT. This option applies to the job allocation, but not to step allocations.

no_vni

Don't allocate any VNIs for this job (even if multi-node).

job_vni

Allocate a job VNI for this job.

single_node_vni

Allocate a job VNI for this job, even if it is a single-node job.

adjust_limits

If set, slurmd will set an upper bound on network resource reservations by taking the per-NIC maximum resource quantity and subtracting the reserved or used values (whichever is higher) for any system network services; this is the default.

no_adjust_limits

If set, slurmd will calculate network resource reservations based only upon the per-resource configuration default and number of tasks in the application; it will not set an upper bound on those reservation requests based on resource usage of already-existing system network services. Setting this will mean more application launches could fail based on network resource exhaustion, but if the application absolutely needs a certain amount of resources to function, this option will ensure that.

def_<rsrc> =< val >

Per-CPU reserved allocation for this resource.

res_<rsrc> =< val >

Per-node reserved allocation for this resource. If set, overrides the per-CPU allocation.

max_<rsrc> =< val >

Maximum per-node limit for this resource.

depth =< depth >

Multiplier for per-CPU resource allocation. Default is the number of reserved CPUs on the node.

--nice [= adjustment ]

Run the job with an adjusted scheduling priority within Slurm. With no adjustment value the scheduling priority is decreased by 100. A negative nice value increases the priority, otherwise decreases it. The adjustment range is +/- 2147483645. Only privileged users can specify a negative adjustment.

-Z , --no-allocate

Run the specified tasks on a set of nodes without creating a Slurm "job" in the Slurm queue structure, bypassing the normal resource allocation step. The list of nodes must be specified with the -w , --nodelist option. This is a privileged option only available for the users "SlurmUser" and "root". This option applies to job allocations. If user namespaces are active, then the mapping of users in the namespace must match the same namespace as MUNGE. If not, then the job will be rejected by slurmd.

-k , --no-kill [=off]

Do not automatically terminate a job if one of the nodes it has been allocated fails. This option applies to job and step allocations. The job will assume all responsibilities for fault-tolerance. Tasks launched using this option will not be considered terminated (e.g. -K , --kill-on-bad-exit and -W , --wait options will have no effect upon the job step). The active job step (MPI job) will likely suffer a fatal error, but subsequent job steps may be run if this option is specified. Specify an optional argument of "off" disable the effect of the SLURM_NO_KILL environment variable. The default action is to terminate the job upon node failure.

-F , --nodefile =< node_file >

Much like --nodelist , but the list is contained in a file of name node file . The node names of the list may also span multiple lines in the file. Duplicate node names in the file will be ignored. The order of the node names in the list is not important; the node names will be sorted by Slurm.

-w , --nodelist ={< node_name_list >|< filename >}

Request a specific list of hosts. The job will contain all of these hosts and possibly additional hosts as needed to satisfy resource requirements. The list may be specified as a comma-separated list of hosts, a range of hosts (host[1-5,7,...] for example), or a filename. The host list will be assumed to be a filename if it contains a "/" character. If you specify a minimum node or processor count larger than can be satisfied by the supplied host list, additional resources will be allocated on other nodes as needed. Rather than repeating a host name multiple times, an asterisk and a repetition count may be appended to a host name. For example "host1,host1" and "host1*2" are equivalent. If the number of tasks is given and a list of requested nodes is also given, the number of nodes used from that list will be reduced to match that of the number of tasks if the number of nodes in the list is greater than the number of tasks. This option applies to job and step allocations.

-N , --nodes =< minnodes >[- maxnodes ]|< size_string >

Request that a minimum of minnodes nodes be allocated to this job. A maximum node count may also be specified with maxnodes . If only one number is specified, this is used as both the minimum and maximum node count. Node count can be also specified as size_string. The size_string specification identifies what nodes values should be used. Multiple values may be specified using a comma separated list or with a step function by suffix containing a colon and number values with a "-" separator. For example, "--nodes=1-15:4" is equivalent to "--nodes=1,5,9,13". The partition's node limits supersede those of the job. If a job's node limits are outside of the range permitted for its associated partition, the job will be left in a PENDING state. This permits possible execution at a later time, when the partition limit is changed. If a job node limit exceeds the number of nodes configured in the partition, the job will be rejected. Note that the environment variable SLURM_JOB_NUM_NODES (and SLURM_NNODES for backwards compatibility) will be set to the count of nodes actually allocated to the job. See the ENVIRONMENT VARIABLES section for more information. If -N is not specified, the default behavior is to allocate enough nodes to satisfy the requested resources as expressed by per-job specification options, e.g. -n , -c and --gpus . The job will be allocated as many nodes as possible within the range specified and without delaying the initiation of the job. If the number of tasks is given and a number of requested nodes is also given, the number of nodes used from that request will be reduced to match that of the number of tasks if the number of nodes in the request is greater than the number of tasks. The node count specification may include a numeric value followed by a suffix of "k" (multiplies numeric value by 1,024) or "m" (multiplies numeric value by 1,048,576). This option applies to job and step allocations.

-n , --ntasks =< number >

Specify the number of tasks to run. Request that srun allocate resources for ntasks tasks. The default is one task per node, but note that the --cpus-per-task option will change this default. This option applies to job and step allocations.

--ntasks-per-core =< ntasks >

Request the maximum ntasks be invoked on each core. This option applies to job and step allocations. Meant to be used with the --ntasks option. Related to --ntasks-per-node except at the core level instead of the node level. If set to 1, it will imply --cpu-bind=cores . Otherwise, if set to a value greater than 1, it will imply --cpu-bind=threads . Automatic binding behavior can be avoided by also specifying --cpu-bind=none . NOTE : This option is not supported when using SelectType=select/linear . This value can not be greater than --threads-per-core .

--ntasks-per-gpu =< ntasks >

Request that there are ntasks tasks invoked for every GPU. This option can work in two ways: 1) either specify --ntasks in addition, in which case a type-less GPU specification will be automatically determined to satisfy --ntasks-per-gpu , or 2) specify the GPUs wanted (e.g. via --gpus or --gres ) without specifying --ntasks , and the total task count will be automatically determined. The number of CPUs needed will be automatically increased if necessary to allow for any calculated task count. This option will implicitly set --gpu-bind=single:<ntasks> , but that can be overridden with an explicit --gpu-bind specification. This option is not compatible with a node range (i.e. -N< minnodes - maxnodes >). This option is not compatible with --gpus-per-task , --gpus-per-socket , or --ntasks-per-node . This option is not supported unless SelectType=cons_tres is configured (either directly or indirectly on Cray systems).

--ntasks-per-node =< ntasks >

Request that ntasks be invoked on each node. If used with the --ntasks option, the --ntasks option will take precedence and the --ntasks-per-node will be treated as a maximum count of tasks per node. Meant to be used with the --nodes option. This is related to --cpus-per-task = ncpus , but does not require knowledge of the actual number of cpus on each node. In some cases, it is more convenient to be able to request that no more than a specific number of tasks be invoked on each node. Examples of this include submitting a hybrid MPI/OpenMP app where only one MPI "task/rank" should be assigned to each node while allowing the OpenMP portion to utilize all of the parallelism present in the node, or submitting a single setup/cleanup/monitoring job to each node of a pre-existing allocation as one step in a larger job script. This option applies to job allocations.

--ntasks-per-socket =< ntasks >

Request the maximum ntasks be invoked on each socket. This option applies to the job allocation, but not to step allocations. Meant to be used with the --ntasks option. Related to --ntasks-per-node except at the socket level instead of the node level. Masks will automatically be generated to bind the tasks to specific sockets unless --cpu-bind=none is specified. NOTE : This option is not supported when using SelectType=select/linear .

--open-mode ={append|truncate}

Open the output and error files using append or truncate mode as specified. For heterogeneous job steps the default value is "append". Otherwise the default value is specified by the system configuration parameter JobFileAppend . This option applies to job and step allocations. See EXAMPLE below.

-o , --output =< filename_pattern >

Specify the " filename pattern " for stdout redirection. By default in interactive mode, collects stdout from all tasks and sends this output via TCP/IP to the attached terminal. With --output stdout may be redirected to a file, to one file per task, or to /dev/null. See section IO Redirection below for the various forms of filename pattern . If the specified file already exists, it will be overwritten. If --error is not also specified on the command line, both stdout and stderr will directed to the file specified by --output . This option applies to job and step allocations.

-O , --overcommit

Overcommit resources. This option applies to job and step allocations. When applied to a job allocation (not including jobs requesting exclusive access to the nodes) the resources are allocated as if only one task per node is requested. This means that the requested number of cpus per task ( -c , --cpus-per-task ) are allocated per node rather than being multiplied by the number of tasks. Options used to specify the number of tasks per node, socket, core, etc. are ignored. When applied to job step allocations (the srun command when executed within an existing job allocation), this option can be used to launch more than one task per CPU. Normally, srun will not allocate more than one process per CPU. By specifying --overcommit you are explicitly allowing more than one process per CPU. However no more than MAX_TASKS_PER_NODE tasks are permitted to execute per node. NOTE : MAX_TASKS_PER_NODE is defined in the file slurm.h and is not a variable, it is set at Slurm build time.

--overlap

Specifying --overlap allows steps to share all resources (CPUs, memory, and GRES) with all other steps. A step using this option will overlap all other steps, even those that did not specify --overlap. By default steps do not share resources with other parallel steps. This option applies to step allocations.

-s , --oversubscribe

The job allocation can over-subscribe resources with other running jobs. The resources to be over-subscribed can be nodes, sockets, cores, and/or hyperthreads depending upon configuration. The default over-subscribe behavior depends on system configuration and the partition's OverSubscribe option takes precedence over the job's option. This option may result in the allocation being granted sooner than if the --oversubscribe option was not set and allow higher system utilization, but application performance will likely suffer due to competition for resources. This option applies to job allocations. NOTE : This option is mutually exclusive with --exclusive .

-p , --partition =< partition_names >

Request a specific partition for the resource allocation. If not specified, the default behavior is to allow the slurm controller to select the default partition as designated by the system administrator. If the job can use more than one partition, specify their names in a comma separate list and the one offering earliest initiation will be used with no regard given to the partition name ordering (although higher priority partitions will be considered first). When the job is initiated, the name of the partition used will be placed first in the job record partition string. This option applies to job allocations.

--power =< flags >

Comma separated list of power management plugin options. Currently available flags include: level (all nodes allocated to the job should have identical power caps, may be disabled by the Slurm configuration option PowerParameters=job_no_level). This option applies to job allocations.

--prefer =< list >

Nodes can have features assigned to them by the Slurm administrator. Users can specify which of these features are desired but not required by their job using the prefer option. This option operates independently from --constraint and will override whatever is set there if possible. When scheduling the features in --prefer are tried first if a node set isn't available with those features then --constraint is attempted. See --constraint for more information, this option behaves the same

-E , --preserve-env

Pass the current values of environment variables SLURM_JOB_NUM_NODES and SLURM_NTASKS through to the executable , rather than computing them from command line parameters. This option applies to job allocations.

--priority =< value >

Request a specific job priority. May be subject to configuration specific constraints. value should either be a numeric value or "TOP" (for highest possible value). Only Slurm operators and administrators can set the priority of a job. This option applies to job allocations only.

--profile ={all|none|< type >[,< type >...]}

Enables detailed data collection by the acct_gather_profile plugin. Detailed data are typically time-series that are stored in an HDF5 file for the job or an InfluxDB database depending on the configured plugin. This option applies to job and step allocations.

All

All data types are collected. (Cannot be combined with other values.)

None

No data types are collected. This is the default.
(Cannot be combined with other values.)

--prolog =< executable >

srun will run executable just before launching the job step. The command line arguments for executable will be the command and arguments of the job step. If executable is "none", then no srun prolog will be run. This parameter overrides the SrunProlog parameter in slurm.conf. This parameter is completely independent from the Prolog parameter in slurm.conf. This option applies to job allocations.

--propagate [= rlimit [, rlimit ...]]

Allows users to specify which of the modifiable (soft) resource limits to propagate to the compute nodes and apply to their jobs. If no rlimit is specified, then all resource limits will be propagated. The following rlimit names are supported by Slurm (although some options may not be supported on some systems):

ALL

All limits listed below (default)

NONE

No limits listed below

AS

The maximum address space (virtual memory) for a process.

CORE

The maximum size of core file

CPU

The maximum amount of CPU time

DATA

The maximum size of a process's data segment

FSIZE

The maximum size of files created. Note that if the user sets FSIZE to less than the current size of the slurmd.log, job launches will fail with a 'File size limit exceeded' error.

MEMLOCK

The maximum size that may be locked into memory

NOFILE

The maximum number of open files

NPROC

The maximum number of processes available

RSS

The maximum resident set size. Note that this only has effect with Linux kernels 2.4.30 or older or BSD.

STACK

The maximum stack size

This option applies to job allocations.

--pty , --pty =< File Descriptor >

Execute task zero with pseudo terminal mode or using pseudo terminal specified by < File Descriptor >. Implicitly sets --unbuffered . Implicitly sets --error and --output to /dev/null for all tasks except task zero, which may cause those tasks to exit immediately (e.g. shells will typically exit immediately in that situation). This option applies to step allocations.

-q , --qos =< qos >

Request a quality of service for the job. QOS values can be defined for each user/cluster/account association in the Slurm database. Users will be limited to their association's defined set of qos's when the Slurm configuration parameter, AccountingStorageEnforce, includes "qos" in its definition. This option applies to job allocations.

-Q , --quiet

Suppress informational messages from srun. Errors will still be displayed. This option applies to job and step allocations.

--quit-on-interrupt

Quit immediately on single SIGINT (Ctrl-C). Use of this option disables the status feature normally available when srun receives a single Ctrl-C and causes srun to instead immediately terminate the running job. This option applies to step allocations.

--reboot

Force the allocated nodes to reboot before starting the job. This is only supported with some system configurations and will otherwise be silently ignored. Only root, SlurmUser or admins can reboot nodes. This option applies to job allocations.

-r , --relative =< n >

Run a job step relative to node n of the current allocation. This option may be used to spread several job steps out among the nodes of the current job. If -r is used, the current job step will begin at node n of the allocated nodelist, where the first node is considered node 0. The -r option is not permitted with -w or -x option and will result in a fatal error when not running within a prior allocation (i.e. when SLURM_JOB_ID is not set). The default for n is 0. If the value of --nodes exceeds the number of nodes identified with the --relative option, a warning message will be printed and the --relative option will take precedence. This option applies to step allocations.

--reservation =< reservation_names >

Allocate resources for the job from the named reservation. If the job can use more than one reservation, specify their names in a comma separate list and the one offering earliest initiation. Each reservation will be considered in the order it was requested. All reservations will be listed in scontrol/squeue through the life of the job. In accounting the first reservation will be seen and after the job starts the reservation used will replace it.

--resv-ports [= count ]

Reserve communication ports for this job. Users can specify the number of port they want to reserve. The parameter MpiParams=ports=12000-12999 must be specified in slurm.conf . If the number of reserved ports is zero then no ports are reserved. Used for native Cray's PMI only. This option applies to job and step allocations.

--send-libs [=yes|no]

If set to yes (or no argument), autodetect and broadcast the executable's shared object dependencies to allocated compute nodes. The files are placed in a directory alongside the executable. The LD_LIBRARY_PATH is automatically updated to include this cache directory as well. This overrides the default behavior configured in slurm.conf SbcastParameters send_libs . This option only works in conjunction with --bcast . See also --bcast-exclude .

--signal =[R:]< sig_num >[@ sig_time ]

When a job is within sig_time seconds of its end time, send it the signal sig_num . Due to the resolution of event handling by Slurm, the signal may be sent up to 60 seconds earlier than specified. sig_num may either be a signal number or name (e.g. "10" or "USR1"). sig_time must have an integer value between 0 and 65535. By default, no signal is sent before the job's end time. If a sig_num is specified without any sig_time , the default time will be 60 seconds. This option applies to job allocations. Use the "R:" option to allow this job to overlap with a reservation with MaxStartDelay set. To have the signal sent at preemption time see the send_user_signal PreemptParameter .

--slurmd-debug =< level >

Specify a debug level for this step. The level may be specified either as an integer value between 2 [error] and 6 [debug2], or as one of the SlurmdDebug tags.

error

Log only errors

info

Log errors and general informational messages

verbose

Log errors and verbose informational messages

debug

Log errors and verbose informational messages and debugging messages

debug2

Log errors and verbose informational messages and more debugging messages The slurmd debug information is copied onto the stderr of the job. By default only errors are displayed. This option applies to job and step allocations.

--sockets-per-node =< sockets >

Restrict node selection to nodes with at least the specified number of sockets. See additional information under -B option above when task/affinity plugin is enabled. This option applies to job allocations. NOTE : This option may implicitly impact the number of tasks if -n was not specified.

--spread-job

Spread the job allocation over as many nodes as possible and attempt to evenly distribute tasks across the allocated nodes. This option disables the topology/tree plugin. This option applies to job allocations.

--switches =< count >[@ max-time ]

When a tree topology is used, this defines the maximum count of leaf switches desired for the job allocation and optionally the maximum time to wait for that number of switches. If Slurm finds an allocation containing more switches than the count specified, the job remains pending until it either finds an allocation with desired switch count or the time limit expires. It there is no switch count limit, there is no delay in starting the job. Acceptable time formats include "minutes", "minutes:seconds", "hours:minutes:seconds", "days-hours", "days-hours:minutes" and "days-hours:minutes:seconds". The job's maximum time delay may be limited by the system administrator using the SchedulerParameters configuration parameter with the max_switch_wait parameter option. On a dragonfly network the only switch count supported is 1 since communication performance will be highest when a job is allocate resources on one leaf switch or more than 2 leaf switches. The default max-time is the max_switch_wait SchedulerParameters. This option applies to job allocations.

--task-epilog =< executable >

The slurmstepd daemon will run executable just after each task terminates. This will be executed before any TaskEpilog parameter in slurm.conf is executed. This is meant to be a very short-lived program. If it fails to terminate within a few seconds, it will be killed along with any descendant processes. This option applies to step allocations.

--task-prolog =< executable >

The slurmstepd daemon will run executable just before launching each task. This will be executed after any TaskProlog parameter in slurm.conf is executed. Besides the normal environment variables, this has SLURM_TASK_PID available to identify the process ID of the task being started. Standard output from this program of the form "export NAME=value" will be used to set environment variables for the task being spawned. This option applies to step allocations.

--test-only

Returns an estimate of when a job would be scheduled to run given the current job queue and all the other srun arguments specifying the job. This limits srun's behavior to just return information; no job is actually submitted. The program will be executed directly by the slurmd daemon. This option applies to job allocations.

--thread-spec =< num >

Count of specialized threads per node reserved by the job for system operations and not used by the application. The application will not use these threads, but will be charged for their allocation. This option can not be used with the --core-spec option. This option applies to job allocations. NOTE : Explicitly setting a job's specialized thread value implicitly sets its --exclusive option, reserving entire nodes for the job.

-T , --threads =< nthreads >

Allows limiting the number of concurrent threads used to send the job request from the srun process to the slurmd processes on the allocated nodes. Default is to use one thread per allocated node up to a maximum of 60 concurrent threads. Specifying this option limits the number of concurrent threads to nthreads (less than or equal to 60). This should only be used to set a low thread count for testing on very small memory computers. This option applies to job allocations.

--threads-per-core =< threads >

Restrict node selection to nodes with at least the specified number of threads per core. In task layout, use the specified maximum number of threads per core. Implies --cpu-bind=threads unless overridden by command line or environment options. NOTE : "Threads" refers to the number of processing units on each core rather than the number of application tasks to be launched per core. See additional information under -B option above when task/affinity plugin is enabled. This option applies to job and step allocations. NOTE : This option may implicitly impact the number of tasks if -n was not specified.

-t , --time =< time >

Set a limit on the total run time of the job allocation. If the requested time limit exceeds the partition's time limit, the job will be left in a PENDING state (possibly indefinitely). The default time limit is the partition's default time limit. When the time limit is reached, each task in each job step is sent SIGTERM followed by SIGKILL. The interval between signals is specified by the Slurm configuration parameter KillWait . The OverTimeLimit configuration parameter may permit the job to run longer than scheduled. Time resolution is one minute and second values are rounded up to the next minute. A time limit of zero requests that no time limit be imposed. Acceptable time formats include "minutes", "minutes:seconds", "hours:minutes:seconds", "days-hours", "days-hours:minutes" and "days-hours:minutes:seconds". This option applies to job and step allocations.

--time-min =< time >

Set a minimum time limit on the job allocation. If specified, the job may have its --time limit lowered to a value no lower than --time-min if doing so permits the job to begin execution earlier than otherwise possible. The job's time limit will not be changed after the job is allocated resources. This is performed by a backfill scheduling algorithm to allocate resources otherwise reserved for higher priority jobs. Acceptable time formats include "minutes", "minutes:seconds", "hours:minutes:seconds", "days-hours", "days-hours:minutes" and "days-hours:minutes:seconds". This option applies to job allocations.

--tmp =< size >[ units ]

Specify a minimum amount of temporary disk space per node. Default units are megabytes. Different units can be specified using the suffix [K|M|G|T]. This option applies to job allocations.

--tres-per-task =< list >

Specifies a comma-delimited list of trackable resources required for the job on each task to be spawned in the job's resource allocation. The format for each entry in the list is "trestype:[tresname:]count". The trestype is the type of trackable resource requested (e.g. cpu, gres, license, etc). The tresname is the name of the trackable resource, as can be seen with sacctmgr show tres . This is required when it exists for tres types such as gres, license, etc. (e.g. gpu, gpu:a100). The count is the number of those resources. The count can have a suffix of "k" or "K" (multiple of 1024), "m" or "M" (multiple of 1024 x 1024), "g" or "G" (multiple of 1024 x 1024 x 1024), "t" or "T" (multiple of 1024 x 1024 x 1024 x 1024), "p" or "P" (multiple of 1024 x 1024 x 1024 x 1024 x 1024). Examples: --tres-per-task=cpu:4 --tres-per-task=cpu:8,license:ansys:1 --tres-per-task=gres:gpu:1 --tres-per-task=gres:gpu:a100:2 The specified resources will be allocated to the job on each node. The available trackable resources are configurable by the system administrator. NOTE : Invalid TRES for --tres-per-task include bb,billing,energy,fs,mem,node,pages,vmem.

--uid =< user >

Attempt to submit and/or run a job as user instead of the invoking user id. The invoking user's credentials will be used to check access permissions for the target partition. User root may use this option to run jobs as a normal user in a RootOnly partition for example. If run as root, srun will drop its permissions to the uid specified after node allocation is successful. user may be the user name or numerical user ID. This option applies to job and step allocations.

-u , --unbuffered

By default, the connection between slurmstepd and the user-launched application is over a pipe. The stdio output written by the application is buffered by the glibc until it is flushed or the output is set as unbuffered. See setbuf (3). If this option is specified the tasks are executed with a pseudo terminal so that the application output is unbuffered. This option applies to step allocations.

--usage

Display brief help message and exit.

--use-min-nodes

If a range of node counts is given, prefer the smaller count.

-v , --verbose

Increase the verbosity of srun's informational messages. Multiple -v 's will further increase srun's verbosity. By default only errors will be displayed. This option applies to job and step allocations.

-V , --version

Display version information and exit.

-W , --wait =< seconds >

Specify how long to wait after the first task terminates before terminating all remaining tasks. A value of 0 indicates an unlimited wait (a warning will be issued after 60 seconds). The default value is set by the WaitTime parameter in the slurm configuration file (see slurm.conf (5) ). This option can be useful to ensure that a job is terminated in a timely fashion in the event that one or more tasks terminate prematurely. Note: The -K , --kill-on-bad-exit option takes precedence over -W , --wait to terminate the job immediately if a task exits with a non-zero exit code. This option applies to job allocations.

--wckey =< wckey >

Specify wckey to be used with job. If TrackWCKey=no (default) in the slurm.conf this value is ignored. This option applies to job allocations.

--x11 [={all|first|last}]

Sets up X11 forwarding on "all", "first" or "last" node(s) of the allocation. This option is only enabled if Slurm was compiled with X11 support and PrologFlags=x11 is defined in the slurm.conf. Default is "all". will submit the job request to the slurm job controller, then initiate all processes on the remote nodes. If the request cannot be met immediately, will block until the resources are free to run the job. If the -I ( --immediate ) option is specified will terminate if resources are not immediately available. When initiating remote processes will propagate the current working directory, unless --chdir =< path > is specified, in which case path will become the working directory for the remote processes. The -n, -c , and -N options control how CPUs and nodes will be allocated to the job. When specifying only the number of processes to run with -n , a default of one CPU per process is allocated. By specifying the number of CPUs required per task ( -c ), more than one CPU may be allocated per process. If the number of nodes is specified with -N , will attempt to allocate at least the number of nodes specified. Combinations of the above three options may be used to change how processes are distributed across nodes and cpus. For instance, by specifying both the number of processes and number of nodes on which to run, the number of processes per node is implied. However, if the number of CPUs per process is more important then number of processes ( -n ) and the number of CPUs per process ( -c ) should be specified. will refuse to allocate more than one process per CPU unless --overcommit ( -O ) is also specified. will attempt to meet the above specifications "at a minimum." That is, if 16 nodes are requested for 32 processes, and some nodes do not have 2 CPUs, the allocation of nodes will be increased in order to meet the demand for CPUs. In other words, a minimum of 16 nodes are being requested. However, if 16 nodes are requested for 15 processes, will consider this an error, as 15 processes cannot run across 16 nodes. IO Redirection By default, stdout and stderr will be redirected from all tasks to the stdout and stderr of srun , and stdin will be redirected from the standard input of srun to all remote tasks. If stdin is only to be read by a subset of the spawned tasks, specifying a file to read from rather than forwarding stdin from the srun command may be preferable as it avoids moving and storing data that will never be read. For OS X, the poll() function does not support stdin, so input from a terminal is not possible. This behavior may be changed with the --output , --error , and --input ( -o , -e , -i ) options. Valid format specifications for these options are

all

stdout stderr is redirected from all tasks to srun. stdin is broadcast to all remote tasks. (This is the default behavior)

none

stdout and stderr is not received from any task. stdin is not sent to any task (stdin is closed).

taskid

stdout and/or stderr are redirected from only the task with relative id equal to taskid , where 0 <= taskid <= ntasks , where ntasks is the total number of tasks in the current job step. stdin is redirected from the stdin of srun to this same task. This file will be written on the node executing the task.

filename

srun will redirect stdout and/or stderr to the named file from all tasks. stdin will be redirected from the named file and broadcast to all tasks in the job. filename refers to a path on the host that runs srun . Depending on the cluster's file system layout, this may result in the output appearing in different places depending on whether the job is run in batch mode.

filename pattern

srun allows for a filename pattern to be used to generate the named IO file described above. The following list of format specifiers may be used in the format string to generate a filename that will be unique to a given jobid, stepid, node, or task. In each case, the appropriate number of files are opened and associated with the corresponding tasks. Note that any format string containing %t, %n, and/or %N will be written on the node executing the task rather than the node where srun executes, these format specifiers are not supported on a BGQ system.

%n

Node identifier relative to current job (e.g. "0" is the first node of the running job) This will create a separate IO file per node.

%t

task identifier (rank) relative to current job. This will create a separate IO file per task.

%u

User name.

%x

Job name. A number placed between the percent character and format specifier may be used to zero-pad the result in the IO filename to at minimum of specified numbers. This number is ignored if the format specifier corresponds to non-numeric data (%N for example). The maximal number is 10, if a value greater than 10 is used the result is padding up to 10 characters. Some examples of how the format string may be used for a 4 task job step with a JobID of 128 and step id of 0 are included below:

job%J.out

job128.0.out

job%4j.out

job0128.out

job%2j-%2t.out

job128-00.out, job128-01.out, ... Executing srun sends a remote procedure call to slurmctld . If enough calls from srun or other Slurm client commands that send remote procedure calls to the slurmctld daemon come in at once, it can result in a degradation of performance of the slurmctld daemon, possibly resulting in a denial of service. Do not run srun or other Slurm client commands that send remote procedure calls to slurmctld from loops in shell scripts or other programs. Ensure that programs limit calls to srun to the minimum necessary for the information you are trying to gather.

INPUT ENVIRONMENT VARIABLES

Upon startup, srun will read and handle the options set in the following environment variables. The majority of these variables are set the same way the options are set, as defined above. For flag options that are defined to expect no argument, the option can be enabled by setting the environment variable without a value (empty or NULL string), the string 'yes', or a non-zero number. Any other value for the environment variable will result in the option not being set. There are a couple exceptions to these rules that are noted below. NOTE : Command line options always override environment variable settings.

PMI_FANOUT

This is used exclusively with PMI (MPICH2 and MVAPICH2) and controls the fanout of data communications. The srun command sends messages to application programs (via the PMI library) and those applications may be called upon to forward that data to up to this number of additional tasks. Higher values offload work from the srun command to the applications and likely increase the vulnerability to failures. The default value is 32.

PMI_FANOUT_OFF_HOST

This is used exclusively with PMI (MPICH2 and MVAPICH2) and controls the fanout of data communications. The srun command sends messages to application programs (via the PMI library) and those applications may be called upon to forward that data to additional tasks. By default, srun sends one message per host and one task on that host forwards the data to other tasks on that host up to PMI_FANOUT . If PMI_FANOUT_OFF_HOST is defined, the user task may be required to forward the data to tasks on other hosts. Setting PMI_FANOUT_OFF_HOST may increase performance. Since more work is performed by the PMI library loaded by the user application, failures also can be more common and more difficult to diagnose. Should be disabled/enabled by setting to 0 or 1.

PMI_TIME

This is used exclusively with PMI (MPICH2 and MVAPICH2) and controls how much the communications from the tasks to the srun are spread out in time in order to avoid overwhelming the srun command with work. The default value is 500 (microseconds) per task. On relatively slow processors or systems with very large processor counts (and large PMI data sets), higher values may be required.

SLURM_ACCOUNT

Same as -A, --account

SLURM_ACCTG_FREQ

Same as --acctg-freq

SLURM_BCAST

Same as --bcast

SLURM_BCAST_EXCLUDE

Same as --bcast-exclude

SLURM_BURST_BUFFER

Same as --bb

SLURM_CLUSTERS

Same as -M , --clusters

SLURM_COMPRESS

Same as --compress

SLURM_CONF

The location of the Slurm configuration file.

SLURM_CONSTRAINT

Same as -C , --constraint

SLURM_CORE_SPEC

Same as --core-spec

SLURM_CPU_BIND

Same as --cpu-bind

SLURM_CPU_FREQ_REQ

Same as --cpu-freq .

SLURM_CPUS_PER_GPU

Same as --cpus-per-gpu

SRUN_CPUS_PER_TASK

Same as -c, --cpus-per-task

SLURM_DEBUG

Same as -v, --verbose , when set to 1, when set to 2 gives -vv, etc.

SLURM_DEBUG_FLAGS

Specify debug flags for srun to use. See DebugFlags in the slurm.conf (5) man page for a full list of flags. The environment variable takes precedence over the setting in the slurm.conf.

SLURM_DELAY_BOOT

Same as --delay-boot

SLURM_DEPENDENCY

Same as -d, --dependency =< jobid >

SLURM_DISABLE_STATUS

Same as -X, --disable-status

SLURM_DIST_PLANESIZE

Plane distribution size. Only used if --distribution=plane , without =<size> , is set.

SLURM_DISTRIBUTION

Same as -m, --distribution

SLURM_EPILOG

Same as --epilog

SLURM_EXACT

Same as --exact

SLURM_EXCLUSIVE

Same as --exclusive

SLURM_EXIT_ERROR

Specifies the exit code generated when a Slurm error occurs (e.g. invalid options). This can be used by a script to distinguish application exit codes from various Slurm error conditions. Also see SLURM_EXIT_IMMEDIATE .

SLURM_EXIT_IMMEDIATE

Specifies the exit code generated when the --immediate option is used and resources are not currently available. This can be used by a script to distinguish application exit codes from various Slurm error conditions. Also see SLURM_EXIT_ERROR .

SLURM_EXPORT_ENV

Same as --export

SLURM_GPU_BIND

Same as --gpu-bind

SLURM_GPU_FREQ

Same as --gpu-freq

SLURM_GPUS

Same as -G, --gpus

SLURM_GPUS_PER_NODE

Same as --gpus-per-node

SLURM_GPUS_PER_TASK

Same as --gpus-per-task

SLURM_GRES

Same as --gres . Also see SLURM_STEP_GRES

SLURM_GRES_FLAGS

Same as --gres-flags

SLURM_HINT

Same as --hint

SLURM_IMMEDIATE

Same as -I, --immediate

SLURM_JOB_ID

Same as --jobid

SLURM_JOB_NAME

Same as -J, --job-name except within an existing allocation, in which case it is ignored to avoid using the batch job's name as the name of each job step.

SLURM_JOB_NUM_NODES

Same as -N, --nodes . Total number of nodes in the job’s resource allocation.

SLURM_KILL_BAD_EXIT

Same as -K, --kill-on-bad-exit . Must be set to 0 or 1 to disable or enable the option.

SLURM_LABELIO

Same as -l, --label

SLURM_MEM_BIND

Same as --mem-bind

SLURM_MEM_PER_CPU

Same as --mem-per-cpu

SLURM_MEM_PER_GPU

Same as --mem-per-gpu

SLURM_MEM_PER_NODE

Same as --mem

SLURM_MPI_TYPE

Same as --mpi

SLURM_NETWORK

Same as --network

SLURM_NNODES

Same as -N, --nodes . Total number of nodes in the job’s resource allocation. See SLURM_JOB_NUM_NODES . Included for backwards compatibility.

SLURM_NO_KILL

Same as -k , --no-kill

SLURM_NPROCS

Same as -n, --ntasks . See SLURM_NTASKS . Included for backwards compatibility.

SLURM_NTASKS

Same as -n, --ntasks

SLURM_NTASKS_PER_CORE

Same as --ntasks-per-core

SLURM_NTASKS_PER_GPU

Same as --ntasks-per-gpu

SLURM_NTASKS_PER_NODE

Same as --ntasks-per-node

SLURM_NTASKS_PER_SOCKET

Same as --ntasks-per-socket

SLURM_OPEN_MODE

Same as --open-mode

SLURM_OVERCOMMIT

Same as -O, --overcommit

SLURM_OVERLAP

Same as --overlap

SLURM_PARTITION

Same as -p, --partition

SLURM_PMI_KVS_NO_DUP_KEYS

If set, then PMI key-pairs will contain no duplicate keys. MPI can use this variable to inform the PMI library that it will not use duplicate keys so PMI can skip the check for duplicate keys. This is the case for MPICH2 and reduces overhead in testing for duplicates for improved performance

SLURM_POWER

Same as --power

SLURM_PROFILE

Same as --profile

SLURM_PROLOG

Same as --prolog

SLURM_QOS

Same as --qos

SLURM_REMOTE_CWD

Same as -D, --chdir=

SLURM_REQ_SWITCH

When a tree topology is used, this defines the maximum count of switches desired for the job allocation and optionally the maximum time to wait for that number of switches. See --switches

SLURM_RESERVATION

Same as --reservation

SLURM_RESV_PORTS

Same as --resv-ports

SLURM_SEND_LIBS

Same as --send-libs

SLURM_SIGNAL

Same as --signal

SLURM_SPREAD_JOB

Same as --spread-job

SLURM_SRUN_REDUCE_TASK_EXIT_MSG

if set and non-zero, successive task exit messages with the same exit code will be printed only once.

SRUN_ERROR

Same as -e, --error

SRUN_INPUT

Same as -i, --input

SRUN_OUTPUT

Same as -o, --output

SLURM_STEP_GRES

Same as --gres (only applies to job steps, not to job allocations). Also see SLURM_GRES

SLURM_STEP_KILLED_MSG_NODE_ID =ID

If set, only the specified node will log when the job or step are killed by a signal.

SLURM_TASK_EPILOG

Same as --task-epilog

SLURM_TASK_PROLOG

Same as --task-prolog

SLURM_TEST_EXEC

If defined, srun will verify existence of the executable program along with user execute permission on the node where srun was called before attempting to launch it on nodes in the step.

SLURM_THREAD_SPEC

Same as --thread-spec

SLURM_THREADS

Same as -T, --threads

SLURM_THREADS_PER_CORE

Same as --threads-per-core

SLURM_TIMELIMIT

Same as -t, --time

SLURM_UMASK

If defined, Slurm will use the defined umask to set permissions when creating the output/error files for the job.

SLURM_UNBUFFEREDIO

Same as -u, --unbuffered

SLURM_USE_MIN_NODES

Same as --use-min-nodes

SLURM_WAIT

Same as -W, --wait

SLURM_WAIT4SWITCH

Max time waiting for requested switches. See --switches

SLURM_WCKEY

Same as -W, --wckey

SLURM_WORKING_DIR

-D, --chdir

SLURMD_DEBUG

Same as --slurmd-debug .

SRUN_CONTAINER

Same as --container .

SRUN_CONTAINER_ID

Same as --container-id .

SRUN_EXPORT_ENV

Same as --export , and will override any setting for SLURM_EXPORT_ENV . srun will set some environment variables in the environment of the executing tasks on the remote compute nodes. These environment variables are:

SLURM_*_HET_GROUP_#

For a heterogeneous job allocation, the environment variables are set separately for each component.

SLURM_CLUSTER_NAME

Name of the cluster on which the job is executing.

SLURM_CPU_BIND_LIST

--cpu-bind map or mask list (list of Slurm CPU IDs or masks for this node, CPU_ID = Board_ID x threads_per_board + Socket_ID x threads_per_socket + Core_ID x threads_per_core + Thread_ID).

SLURM_CPU_BIND_TYPE

--cpu-bind type (none,rank,map_cpu:,mask_cpu:).

SLURM_CPU_BIND_VERBOSE

--cpu-bind verbosity (quiet,verbose).

SLURM_CPU_FREQ_REQ

Contains the value requested for cpu frequency on the srun command as a numerical frequency in kilohertz, or a coded value for a request of low , medium , highm1 or high for the frequency. See the description of the --cpu-freq option or the SLURM_CPU_FREQ_REQ input environment variable.

SLURM_CPUS_ON_NODE

Number of CPUs available to the step on this node. NOTE : The select/linear plugin allocates entire nodes to jobs, so the value indicates the total count of CPUs on the node. For the select/cons_res and cons/tres plugins, this number indicates the number of CPUs on this node allocated to the step.

SLURM_CPUS_PER_TASK

Number of cpus requested per task. Only set if the --cpus-per-task option is specified.

SLURM_DISTRIBUTION

Distribution type for the allocated jobs. Set the distribution with -m , --distribution .

SLURM_GPUS_ON_NODE

Number of GPUs available to the step on this node.

SLURM_GTIDS

Global task IDs running on this node. Zero origin and comma separated. It is read internally by pmi if Slurm was built with pmi support. Leaving the variable set may cause problems when using external packages from within the job (Abaqus and Ansys have been known to have problems when it is set - consult the appropriate documentation for 3rd party software).

SLURM_HET_SIZE

Set to count of components in heterogeneous job.

SLURM_JOB_ACCOUNT

Account name associated of the job allocation.

SLURM_JOB_CPUS_PER_NODE

Count of CPUs available to the job on the nodes in the allocation, using the format CPU_count [(x number_of_nodes )][, CPU_count [(x number_of_nodes )] ...]. For example: SLURM_JOB_CPUS_PER_NODE='72(x2),36' indicates that on the first and second nodes (as listed by SLURM_JOB_NODELIST) the allocation has 72 CPUs, while the third node has 36 CPUs. NOTE : The select/linear plugin allocates entire nodes to jobs, so the value indicates the total count of CPUs on allocated nodes. The select/cons_res and select/cons_tres plugins allocate individual CPUs to jobs, so this number indicates the number of CPUs allocated to the job.

SLURM_JOB_DEPENDENCY

Set to value of the --dependency option.

SLURM_JOB_END_TIME

The UNIX timestamp for a job's projected end time.

SLURM_JOB_GPUS

The global GPU IDs of the GPUs allocated to this job. The GPU IDs are not relative to any device cgroup, even if devices are constrained with task/cgroup. Only set in batch and interactive jobs.

SLURM_JOB_ID

Job id of the executing job.

SLURM_JOB_NAME

Set to the value of the --job-name option or the command name when srun is used to create a new job allocation. Not set when srun is used only to create a job step (i.e. within an existing job allocation).

SLURM_JOB_NODELIST

List of nodes allocated to the job.

SLURM_JOB_NODES

Total number of nodes in the job's resource allocation.

SLURM_JOB_PARTITION

Name of the partition in which the job is running.

SLURM_JOB_QOS

Quality Of Service (QOS) of the job allocation.

SLURM_JOB_RESERVATION

Advanced reservation containing the job allocation, if any.

SLURM_JOB_START_TIME

The UNIX timestamp for a job's start time.

SLURM_JOBID

Job id of the executing job. See SLURM_JOB_ID . Included for backwards compatibility.

SLURM_LAUNCH_NODE_IPADDR

IP address of the node from which the task launch was initiated (where the srun command ran from).

SLURM_LOCALID

Node local task ID for the process within a job.

SLURM_MEM_BIND_LIST

--mem-bind map or mask list (<list of IDs or masks for this node>).

SLURM_MEM_BIND_PREFER

--mem-bind prefer (prefer).

SLURM_MEM_BIND_SORT

Sort free cache pages (run zonesort on Intel KNL nodes).

SLURM_MEM_BIND_TYPE

--mem-bind type (none,rank,map_mem:,mask_mem:).

SLURM_MEM_BIND_VERBOSE

--mem-bind verbosity (quiet,verbose).

SLURM_NODE_ALIASES

Sets of node name, communication address and hostname for nodes allocated to the job from the cloud. Each element in the set if colon separated and each set is comma separated. For example: SLURM_NODE_ALIASES:=:ec0:1.2.3.4:foo,ec1:1.2.3.5:bar

SLURM_NODEID

The relative node ID of the current node.

SLURM_NPROCS

Total number of processes in the current job or job step. See SLURM_NTASKS . Included for backwards compatibility.

SLURM_NTASKS

Total number of processes in the current job or job step.

SLURM_OVERCOMMIT

Set to 1 if --overcommit was specified.

SLURM_PRIO_PROCESS

The scheduling priority (nice value) at the time of job submission. This value is propagated to the spawned processes.

SLURM_PROCID

The MPI rank (or relative process ID) of the current process.

SLURM_SRUN_COMM_HOST

IP address of srun communication host.

SLURM_SRUN_COMM_PORT

srun communication port.

SLURM_CONTAINER

OCI Bundle for job. Only set if --container is specified.

SLURM_CONTAINER_ID

OCI id for job. Only set if --container_id is specified.

SLURM_SHARDS_ON_NODE

Number of GPU Shards available to the step on this node.

SLURM_STEP_GPUS

The global GPU IDs of the GPUs allocated to this step (excluding batch and interactive steps). The GPU IDs are not relative to any device cgroup, even if devices are constrained with task/cgroup.

SLURM_STEP_ID

The step ID of the current job.

SLURM_STEP_LAUNCHER_PORT

Step launcher port.

SLURM_STEP_NODELIST

List of nodes allocated to the step.

SLURM_STEP_NUM_NODES

Number of nodes allocated to the step.

SLURM_STEP_NUM_TASKS

Number of processes in the job step or whole heterogeneous job step.

SLURM_STEP_TASKS_PER_NODE

Number of processes per node within the step.

SLURM_STEPID

The step ID of the current job. See SLURM_STEP_ID . Included for backwards compatibility.

SLURM_SUBMIT_DIR

The directory from which the allocation was invoked from.

SLURM_SUBMIT_HOST

The hostname of the computer from which the allocation was invoked from.

SLURM_TASK_PID

The process ID of the task being started.

SLURM_TASKS_PER_NODE

Number of tasks to be initiated on each node. Values are comma separated and in the same order as SLURM_JOB_NODELIST. If two or more consecutive nodes are to have the same task count, that count is followed by "(x#)" where "#" is the repetition count. For example, "SLURM_TASKS_PER_NODE=2(x3),1" indicates that the first three nodes will each execute two tasks and the fourth node will execute one task.

SLURM_TOPOLOGY_ADDR

This is set only if the system has the topology/tree plugin configured. The value will be set to the names network switches which may be involved in the job's communications from the system's top level switch down to the leaf switch and ending with node name. A period is used to separate each hardware component name.

SLURM_TOPOLOGY_ADDR_PATTERN

This is set only if the system has the topology/tree plugin configured. The value will be set component types listed in SLURM_TOPOLOGY_ADDR . Each component will be identified as either "switch" or "node". A period is used to separate each hardware component type.

SLURM_UMASK

The umask in effect when the job was submitted.

SLURMD_NODENAME

Name of the node running the task. In the case of a parallel job executing on multiple compute nodes, the various tasks will have this environment variable set to different values on each compute node.

SRUN_DEBUG

Set to the logging level of the srun command. Default value is 3 (info level). The value is incremented or decremented based upon the --verbose and --quiet options.

SIGNALS AND ESCAPE SEQUENCES

Signals sent to the srun command are automatically forwarded to the tasks it is controlling with a few exceptions. The escape sequence <control-c> will report the state of all tasks associated with the srun command. If <control-c> is entered twice within one second, then the associated SIGINT signal will be sent to all tasks and a termination sequence will be entered sending SIGCONT, SIGTERM, and SIGKILL to all spawned tasks. If a third <control-c> is received, the srun program will be terminated without waiting for remote tasks to exit or their I/O to complete. The escape sequence <control-z> is presently ignored.

MPI SUPPORT

MPI use depends upon the type of MPI being used. There are three fundamentally different modes of operation used by these various MPI implementations. 1. Slurm directly launches the tasks and performs initialization of communications through the PMI2 or PMIx APIs. For example: "srun -n16 a.out". 2. Slurm creates a resource allocation for the job and then mpirun launches tasks using Slurm's infrastructure (OpenMPI). 3. Slurm creates a resource allocation for the job and then mpirun launches tasks using some mechanism other than Slurm, such as SSH or RSH. These tasks are initiated outside of Slurm's monitoring or control. Slurm's epilog should be configured to purge these tasks when the job's allocation is relinquished, or the use of pam_slurm_adopt is highly recommended. See https://slurm.schedmd.com/mpi_guide.html for more information on use of these various MPI implementations with Slurm.

MULTIPLE PROGRAM CONFIGURATION

Comments in the configuration file must have a "#" in column one. The configuration file contains the following fields separated by white space:

Task rank

One or more task ranks to use this configuration. Multiple values may be comma separated. Ranges may be indicated with two numbers separated with a '-' with the smaller number first (e.g. "0-4" and not "4-0"). To indicate all tasks not otherwise specified, specify a rank of '*' as the last line of the file. If an attempt is made to initiate a task for which no executable program is defined, the following error message will be produced "No executable program specified for this task".

Executable

The name of the program to execute. May be fully qualified pathname if desired.

Arguments

Program arguments. The expression "%t" will be replaced with the task's number. The expression "%o" will be replaced with the task's offset within this range (e.g. a configured task rank value of "1-5" would have offset values of "0-4"). Single quotes may be used to avoid having the enclosed values interpreted. This field is optional. Any arguments for the program entered on the command line will be added to the arguments specified in the configuration file. For example: $ cat silly.conf ################################################################### # srun multiple program configuration file # srun -n8 -l --multi-prog silly.conf ################################################################### 4-6 hostname 1,7 echo task:%t 0,2-3 echo offset:%o $ srun -n8 -l --multi-prog silly.conf 0: offset:0 1: task:1 2: offset:1 3: offset:2 4: linux15.llnl.gov 5: linux16.llnl.gov 6: linux17.llnl.gov 7: task:7

EXAMPLES

Example 1:

This simple example demonstrates the execution of the command hostname in eight tasks. At least eight processors will be allocated to the job (the same as the task count) on however many nodes are required to satisfy the request. The output of each task will be proceeded with its task number. (The machine "dev" in the example below has a total of two CPUs per node) $ srun -n8 -l hostname 0: dev0 1: dev0 2: dev1 3: dev1 4: dev2 5: dev2 6: dev3 7: dev3

Example 2:

The srun -r option is used within a job script to run two job steps on disjoint nodes in the following example. The script is run using allocate mode instead of as a batch job in this case. $ cat test.sh #!/bin/sh echo $SLURM_JOB_NODELIST srun -lN2 -r2 hostname srun -lN2 hostname $ salloc -N4 test.sh dev[7-10] 0: dev9 1: dev10 0: dev7 1: dev8

Example 3:

The following script runs two job steps in parallel within an allocated set of nodes. $ cat test.sh #!/bin/bash srun -lN2 -n4 -r 2 sleep 60 & srun -lN2 -r 0 sleep 60 & sleep 1 squeue squeue -s $ salloc -N4 test.sh JOBID PARTITION NAME USER ST TIME NODES NODELIST 65641 batch test.sh grondo R 0:01 4 dev[7-10] STEPID PARTITION USER TIME NODELIST 65641.0 batch grondo 0:01 dev[7-8] 65641.1 batch grondo 0:01 dev[9-10]

Example 4:

This example demonstrates how one executes a simple MPI job. We use srun to build a list of machines (nodes) to be used by mpirun in its required format. A sample command line and the script to be executed follow. $ cat test.sh #!/bin/sh MACHINEFILE="nodes.$SLURM_JOB_ID" # Generate Machinefile for mpi such that hosts are in the same # order as if run via srun srun -l /bin/hostname | sort -n | awk '{print $2}' > $MACHINEFILE # Run using generated Machine file: mpirun -np $SLURM_NTASKS -machinefile $MACHINEFILE mpi-app rm $MACHINEFILE $ salloc -N2 -n4 test.sh

Example 5:

This simple example demonstrates the execution of different jobs on different nodes in the same srun. You can do this for any number of nodes or any number of jobs. The executables are placed on the nodes sited by the SLURM_NODEID env var. Starting at 0 and going to the number specified on the srun command line. $ cat test.sh case $SLURM_NODEID in 0) echo "I am running on " hostname ;; 1) hostname echo "is where I am running" ;; $ srun -N2 test.sh is where I am running I am running on

Example 6:

This example demonstrates use of multi-core options to control layout of tasks. We request that four sockets per node and two cores per socket be dedicated to the job. $ srun -N2 -B 4-4:2-2 a.out

Example 7:

This example shows a script in which Slurm is used to provide resource management for a job by executing the various job steps as processors become available for their dedicated use. $ cat my.script #!/bin/bash srun -n4 prog1 & srun -n3 prog2 & srun -n1 prog3 & srun -n1 prog4 &

Example 8:

This example shows how to launch an application called "server" with one task, 8 CPUs and 16 GB of memory (2 GB per CPU) plus another application called "client" with 16 tasks, 1 CPU per task (the default) and 1 GB of memory per task. $ srun -n1 -c16 --mem-per-cpu=1gb server : -n16 --mem-per-cpu=1gb client

Example 9:

This example highlights the difference in behavior with srun's --exclusive and --overlap flags when run from inside a job allocation. The --overlap flag allows both steps to start at the same time. The --exclusive flag makes the second step wait until the first has finished. $ salloc -n1 salloc: Granted job allocation 9553 salloc: Waiting for resource configuration salloc: Nodes node01 are ready for job $ date +%T; srun -n1 --overlap -l sleep 3 & $ srun -n1 --overlap -l date +%T & 14:36:04 [1] 144341 [2] 144342 0: 14:36:04 [2]+ Done srun -n1 --overlap -l date +%T [1]+ Done srun -n1 --overlap -l sleep 3 $ date +%T; srun -n1 --exclusive -l sleep 3 & $ srun -n1 --exclusive -l date +%T & 14:36:17 [1] 144429 [2] 144430 srun: Job 9553 step creation temporarily disabled, retrying (Requested nodes are busy) srun: Step created for job 9553 0: 14:36:20 [1]- Done srun -n1 --exclusive -l sleep 3 [2]+ Done srun -n1 --exclusive -l date +%T

Example 10:

This example demonstrates how jobs that are not evenly split among multiple nodes can run into problems of tasks not being able to start when there are enough CPUs free to run that task on a single node. This example shows a job that was allocated 2 CPUs on one node and 24 CPUs on the other node. $ echo $SLURM_NODELIST; echo $SLURM_JOB_CPUS_PER_NODE node[01-02] If a task is started that occupies the CPUs on the node with fewer CPUs, then a subsequent task that should be able to start on the other node will not start because it inherits the requirement for the number of nodes from the job allocation. The job step will stay pending until the first job step completes or until it is cancelled. $ srun -n4 --exact sleep 1800 & [1] 151837 $ srun -n2 --exact hostname ^Csrun: Cancelled pending job step with signal 2 srun: error: Unable to create step for job 2677: Job/step already completing or completed If the job step is started, explicitly requesting a single node, then the step is able to run. $ srun -n2 -N1 --exact hostname node02 node02 This behavior can be changed by adding SelectTypeParameters=CR_Pack_Nodes to your slurm.conf. The logic to pack nodes will allow job steps to start on a single node without having to explicitly request a single node.

COPYING

Produced at Lawrence Livermore National Laboratory (cf, DISCLAIMER). This file is part of Slurm, a resource management program. For details, see < https://slurm.schedmd.com/ >. Slurm is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. Slurm is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

SEE ALSO

salloc (1), sattach (1), sbatch (1), sbcast (1), scancel (1), scontrol (1), squeue (1), slurm.conf (5), sched_setaffinity (2), numa (3) getrlimit (2)

Index

SYNOPSIS

DESCRIPTION

RETURN VALUE

EXECUTABLE PATH RESOLUTION

OPTIONS

PERFORMANCE

INPUT ENVIRONMENT VARIABLES

OUTPUT ENVIRONMENT VARIABLES

SIGNALS AND ESCAPE SEQUENCES

MPI SUPPORT

MULTIPLE PROGRAM CONFIGURATION

EXAMPLES

COPYING

SEE ALSO

This document was created by man2html using the manual pages.
Time: 19:41:35 GMT, July 27, 2023