slurm

Create directory for log file before calling slurm sbatch

跟風遠走 提交于 2021-02-19 05:16:21
问题 Slurm sbatch directs stdout and stderr to the files specified by the -o and -e flags, but fails to do so if the filepath contains directories that don't exist. Is there some way to automatically make the directories for my log files? Manually creating these directories each time is inefficient because I'm running each sbatch submission dozens of times. Letting the variation over job names exist in filenames rather than directories makes for a huge, poorly organized mess of logs I have to sort

How to set slurm/salloc for 1 gpu per task but let job use multiple gpus?

我与影子孤独终老i 提交于 2021-02-18 18:13:36
问题 We are looking for some advice with slurm salloc gpu allocations. Currently, given: % salloc -n 4 -c 2 -gres=gpu:1 % srun env | grep CUDA CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 However, we desire more than just device 0 to be used. Is there a way to specify an salloc with srun/mpirun to get the following? CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=1 CUDA_VISIBLE_DEVICES=2 CUDA_VISIBLE_DEVICES=3 This is desired such that each task gets 1

How to set slurm/salloc for 1 gpu per task but let job use multiple gpus?

…衆ロ難τιáo~ 提交于 2021-02-18 18:13:31
问题 We are looking for some advice with slurm salloc gpu allocations. Currently, given: % salloc -n 4 -c 2 -gres=gpu:1 % srun env | grep CUDA CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=0 However, we desire more than just device 0 to be used. Is there a way to specify an salloc with srun/mpirun to get the following? CUDA_VISIBLE_DEVICES=0 CUDA_VISIBLE_DEVICES=1 CUDA_VISIBLE_DEVICES=2 CUDA_VISIBLE_DEVICES=3 This is desired such that each task gets 1

Running a binary without a top level script in SLURM

心不动则不痛 提交于 2021-02-18 11:08:22
问题 In SGE/PBS, I can submit binary executables to the cluster just like I would locally. For example: qsub -b y -cwd echo hello would submit a job named echo, which writes the word "hello" to its output file. How can I submit a similar job to SLURM. It expects the file to have a hash-bang interpreter on the first line. On SLURM I get $ sbatch echo hello sbatch: error: This does not look like a batch script. The first sbatch: error: line must start with #! followed by the path to an interpreter.

SLURM: How to submit a job to a remote slurm cluster from another server?

若如初见. 提交于 2021-01-29 17:14:44
问题 I have the main server-' A ' hosting the SLURM cluster. The set up is working fine as expected. I wanted to know if there is a way to submit the jobs to that main server from another server- ' B ' remotely and get the responses. This situation arises because I don't want to give access to the terminal of the main server- ' A ' to the users on ' B '. I have gone through the documentation and FAQs, but unfortunately couldn't find the details. 回答1: If you install the Slurm client on Server B .

Queue SLURM jobs to run X minutes after each other

浪尽此生 提交于 2021-01-29 13:30:02
问题 I have been trying to search around for an example of how to use the following option for job dependencies, -d, --dependency=<dependency_list> . In the documentation, the syntax is shown to be after:job_id[[+time][:jobid[+time]...]] But I am unable to find any examples of this, and to be honest I find the presentation of the syntax confusing. I have tried sbatch --dependency=after:123456[+5] myjob.slurm and sbatch --dependency=after:123456+5 myjob.slurm , but this yields the error sbatch:

Python: cluster jobs management

别来无恙 提交于 2021-01-28 02:25:12
问题 I am running python scripts on a computing cluster (slurm) with two stages and they are sequential. I wrote two python scripts, one for Stage 1 and another for Stage 2. Every morning I check if all Stage 1 jobs are completed visually. Only then, I start Stage 2. Is there a more elegant/automated way by combining all stages and job management in a single python script? How can I tell if the job has completed? The workflow is similar to the following: while not job_list.all_complete(): for job

Make use of all CPUs on SLURM

空扰寡人 提交于 2021-01-27 19:52:00
问题 I would like to run a job on the cluster. There are a different number of CPUs on different nodes and I have no idea which nodes will be assigned to me. What are the proper options so that the job can create as many tasks as CPUs on all nodes? #!/bin/bash -l #SBATCH -p normal #SBATCH -N 4 #SBATCH -t 96:00:00 srun -n 128 ./run 回答1: One dirty hack to achieve the objective is using the environment variables provided by the SLURM. For a sample sbatch file: #!/bin/bash #SBATCH --job-name=test

Pass command line arguments via sbatch

懵懂的女人 提交于 2021-01-20 14:43:48
问题 Suppose that I have the following simple bash script which I want to submit to a batch server through SLURM: #!/bin/bash #SBATCH -o "outFile"$1".txt" #SBATCH -e "errFile"$1".txt" hostname exit 0 In this script, I simply want to write the output of hostname on a textfile whose full name I control via the command-line, like so: login-2:jobs$ sbatch -D `pwd` exampleJob.sh 1 Submitted batch job 203775 Unfortunately, it seems that my last command-line argument (1) is not parsed through sbatch,

SLURM: see how many cores per node, and how many cores per job

蓝咒 提交于 2020-11-25 08:25:47
问题 I have searched google and read the documentation. My local cluster is using SLURM. I want to check the following things: How many cores does each node have? How many cores has each job in the queue reserved? Any advice would be much appreciated! 回答1: in order to see the details of all the nodes you can use: scontrol show node For an specific node: scontrol show node "nodename" And for the cores of job you can use the format mark %C , for instance: squeue -o"%.7i %.9P %.8j %.8u %.2t %.10M %