Wiki source code of Slurm

Version 5.1 by Thomas Coelho on 2022/12/08 11:05

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1.1	1	SLURM is the Simple Linux Utility for Resource Management and is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters.
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	3	Slurm is fully integrated in our system. You do not need set any environment variables.
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4.1	7	{{toc/}}
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	9	== Partitions ==
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1.1	11	A partition is a subset of the cluster, a bundle of compute nodes with the same characteristics.
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	13	Based on access restrictions our cluster is divided in different partitions. 'sinfo' will only show partitions you are allowed to use. Using 'sinfo -a' shows all partitons.
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	15	A partition is selected by '-p PARTITIONNAME'.
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5.1	17	\|=Partition \|=No. Nodes \|=Cores/M \|=Tot. Cores\|=RAM/GB \|=CPU \|=Remark/Restriction
4.1	18	\|itp \|10\|20 \|200\|64 \|Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz\|Common Usage
	19	\|dfg-big\|3\|32\|96\|128\|8-Core AMD Opteron(tm) Processor 6128\|Group Valenti
	20	\|dfg-big\|3\|48\|144\|128/256\|12-Core AMD Opteron(tm) Processor 6168\|Group Valenti
	21	\|dfg-big\|4\|64\|256\|128/256\|16-Core AMD Opteron(tm) Processor 6272\|Group Valenti
	22	\|dfg-big\|4\|48\|192\|128/256\|12-Core AMD Opteron(tm) Processor 6344\|Group Valenti
	23	\|fplo\|2\|12\|24\|256\|Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz\|Group Valenti
	24	\|fplo\|4\|16\|32\|256\|Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz\|Group Valenti
	25	\|dfg-xeon\|5\|16\|32\|128\|Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz\|Group Valenti
	26	\|dfg-xeon\|7\|20\|140\|128\|Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz\|Group Valenti
5.1	27	\|iboga\|34\|20\|880\|64\|Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz\|Group Rezzolla
4.1	28	\|dreama\|1\|40\|40\|1024\|Intel(R) Xeon(R) CPU E7-4820 v3 @ 1.90GHz\|Group Rezzolla
5.1	29	\|barcelona\|8\|40\|320\|192\|Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz\|(((
	30	Group Valenti
	31	)))
	32	\|barcelona\|1\|40\|40\|512\| \|Group Valenti
	33	\|mallorca\|4\|48\|192\|256\|AMD EPYC 7352 24-Core Processor\|Group Valenti
	34	\|calea\|36\|64\|2304\|256\|Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz\|(((
	35	Group Rezzolla
	36	)))
	37	\|majortom\|1\|64\|64\|256\|AMD EPYC 7513 32-Core Processor\|Group Bleicher
1.1	38
3.1	39	Most nodes are for exclusive use by their corresponding owners. The itp nodes are for common usage. Except for 'fplo' and 'dfg-big' nodes, all machines are connected with Infiniband for all traffic (IP and internode communitcation - MPI)
1.1	40
	41	== Submitting Jobs ==
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	43	In most cases you want to submit a non interactive job to be executed in our cluster.
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	45	This is very simple for serial (1 CPU) jobs:
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4.1	47	{{{ sbatch -p PARTITION jobscript.sh}}}
1.1	48
	49	where jobscript.sh is a shell script with your job commands.
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4.1	51	Running openMPI jobs is not much more complictated:
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4.1	53	{{{ sbatch -p PARTITION -n X jobscript.sh}}}
1.1	54
	55	where X is the number of desired MPI processes. Launch the job in the jobscript with:
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4.1	57	{{{ mpirun YOUREXECUTABLE}}}
1.1	58
	59	You don't have to worry about the number of processes or specific nodes. Both slurm and openmpi know
	60	about each other.
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4.1	62	If you want infiniband for your MPI job (which is usually a good idea, if not running on the same node), you have to request the feature infiniband:
1.1	63
4.1	64	{{{ sbatch -p dfg -C infiniband -n X jobscript.sh}}}
1.1	65
	66	Note: Infiniband is not available for 'fplo' and 'dfg-big'.
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4.1	68	Running SMP jobs (multiple threads, not necessary mpi). Running MPI jobs on a single node is recommended for the
1.1	69	dfg-big nodes. This are big host with up to 64 cpu's per node, but 'slow' gigabit network connection. Launch SMP jobs with
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4.1	71	{{{ sbatch -p PARTITION -N 1 -n X jobscript.sh}}}
1.1	72
	73	=== Differences in network the network connection ===
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1.1	77	The new v3 dfg-xeon nodes are equipped with 10 GB network. This is faster (trough put) and has lower latency then gigabit ethernet, but is not is not as fast as the DDR infinband network. The 10 GB network is used for MPI and I/O. Infiniband is only use for MPI.
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	79	== Defining Resource limits ==
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	81	By default each job allocates 2 GB memory and a run time of 3 days. More resources can be requested by
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4.1	83	{{{ --mem-per-cpu=<MB>}}}
1.1	84
	85	where <MB> is the memory in megabytes. The virtual memory limit is 2.5 times of the requested real memory limit.
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	87	The memory limit is not a hard limit. When exceeding the limit, your memory will be swapped out. Only when using more the 150% of the limit your job will be killed. So be conservative, to keep enough room for other jobs. Requested memory is blocked from the use by other jobs.
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4.1	89	{{{ -t or --time=<time>}}}
1.1	90
	91	where time can be set in the format "days-hours". See man page for more formats.
	92
	93	== Memory Management ==
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	95	In Slurm you specify only one parameter, which is the limit for your real memory usage and drives the decision where your job is started. The virtual memory of your job maybe 2.5 times of your requested memory. You can exceed your memory limit by 20%. But this will be swap space instead of real memory. This prevents crashing if you memory limit is a little to tight.
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	97	== Inline Arguments ==
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	99	sbatch arguments can be written in the jobfile:
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4.1	101	{{{#! /bin/bash
1.1	102	#
	103	# Choosing a partition:
	104	#SBATCH -p housewives
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4.1	106	YOUR JOB COMMANDS....}}}
1.1	107
4.1	108
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1.1	110	= Links =
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4.1	113
	114	* SLURM-Homepage [[url:http://slurm.schedmd.com/slurm.html]]

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