Errors in submitting jobs

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Job not submitted: please specify runtime limit with -t.

Requested time limit is invalid (missing or exceeds some limit)

See Using Slurm Basic. All job submission commands need an estimate of how long the job will run, specified with the -t parameter. Your job will be killed once it hits this limit, so you may want to slightly overestimate.

Missing -p 

Job not submitted: please specify partition with -p.

Unable to allocate resources: Invalid partition name specified

See Using Slurm Basic. All job submission commands need to include a partition to run the job in, specified with the -p parameter. For more details on which partition to choose, reference How to choose a partition in O2.

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Job not submitted: please submit jobs that are less than 12 hours long to the short (or priority) partition.

or 

Job not submitted: please submit jobs that are less than 5 days long to the medium (or priority) partition.

If you submit a job to the wrong partition (based on the runtime of your job), you will encounter these errors. See How to choose a partition in O2 for details on the maximum runtime limit of each partition.

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Wrong partition for batch job

Batch job not submitted: not permitted on this partition: interactive

Batch job submission failed: Invalid partition name specified

Jobs that are not interactive, or batch jobs, should not be submitted to the interactive partition. Submit your batch job to another partition, such as short, medium, long, priority, or mpi (if applicable), instead.

Too many CPUs requested

Job not submitted: jobs may not be submitted with greater than 20 cores to short partition.

Currently, the maximum number of cores that can be requested in any partition (besides mpi) is 20; this "jobs may not be submitted with greater than 20 cores" error can occur for jobs submitted to any of the following queues: short, medium, long, priority and interactive. To avoid this error, simply reduce the number of cores requested with the -n parameter in your job submission.

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Memory specification can not be satisfied

Batch job submission failed: Requested node configuration is not available

If you ask for more memory than any node has, your job will not be submitted. You will need to reduce the amount of memory requested in your job submission (currently should be less than 250GiB).

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If your job runs beyond the "wall clock" time limit you requested with -t in your job submission command, then it will be killed. This can occur if:

• You underestimated how much work the program needed to do

• You thought you were requesting more time than you did. A common pitfall is requesting time in minutes with -t, when you thought you were requesting in hours. For example, -t 10 means 10 minutes, not 10 hours. The valid time limit formats for Slurm are "minutes", "minutes:seconds", "hours:minutes:seconds", "days-hours", "days-hours:minutes" and "days-hours:minutes:seconds". 

• The job is running very inefficiently because you did not tell the program to use all the resources you requested. For example, you might give a 1-hour time limit for a 4-core job (sbatch -t 1:00 -c 4). You're planning to do about 4 hours of work in one "wall clock" hour, since 4 cores will be working on the job simultaneously. If you run the program with the wrong parameters (like forgetting to tell bowtie to use 4 threads), the program ends up running on just one core. After an hour, the program will only be about one quarter done. 

• The job is running slowly because you forgot to request the correct number of cores in the job submission. For example, you requested only 1 core (sbatch -c 1), but direct your program to use more than one (telling Trimmomatic to use 6 threads). On O2, a job's CPU usage is strictly confined using the Slurm Cgroups plugin to the requested resources. If you observe a performance decay on O2 as compared to another cluster, that may happen because your job was using multiple cores on the other cluster even if you did not explicitly request them. You won't get an error on O2 if you try to use more cores than you have allocated. However, your job will run slower than expected, because although it looks like it is using multiple cores, it is restricted to the one you requested. 

• In other cases, another person's job on the same computer as yours might be taking up more resources than it's supposed to, or the storage system might be overloaded, making your job run slowly.

 The TIMEOUT state will be reported for such jobs in sacct. You may see an error like this:

slurmstepd: error: *** JOB 1384071 ON compute-a-16-87 CANCELLED AT 2017-05-22T16:50:20 DUE TO TIME LIMIT ***

Resubmit your job with an increased time limit requested with the -t parameter.

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If your job uses more memory than you requested using the --mem-per-cpu or --mem parameters in your job submission, it will be killed. You may see errors like this:

slurmstepd: error: Exceeded job memory limit

or 

slurmstepd: error: Exceeded step memory limit at some point.

Slurm allows you to have "job steps", which are tasks that are part of a job (See the official Slurm Quick Start Guide for more information). By default, there will be one job step per job. Depending on which memory limit your job exceeds (job limit or step limit), you will see one of the above messages.

In sacct or O2sacct, jobs that use too much memory will have OUT_OF_MEMORY status. You can compare the reported memory usage (MaxRSS) from sacct/O2sacct to the amount of memory you requested; you may notice that the reported MaxRSS is smaller than what you asked for. The memory accounting mechanism can miss a quick increase in memory usage, as it polls only at certain intervals. The mechanism that enforces memory limits (the Cgroups plugin) is much more sensitive to memory spikes, and can kill a job before the scheduler sees that too much memory was used. See the following error message example below.

To avoid this error, resubmit your job with an increased amount of memory requested with the --mem-per-cpu or --mem parameters.

(Note for advanced users: MaxVMSize and MaxRSS measure slightly different types of memory. In some cases, jobs will be killed because the MaxRSS goes above the requested memory. But these values are usually within 20% or so of each other. Contact Research Computing if you have detailed questions about this.)

Alternatively, you may begin seeing something like the following:

Detected

(n)

oom-kill

event(s)

in

step

(jobid).batch

This is a reporting function in Slurm active as of March 2019. If you see this message, then there are a couple of things to keep in mind. The first is that you are experiencing the same problem as above, with error: Exceeded job memory limit or the equivalent. The second, is that even though you are experiencing the same error, the reported memory usage in the sacct or O2sacct information for that job, may not necessarily report usage that exceeds your memory request. This is because the mechanism that reports the oom-kill event is at the kernel level (cgroups), and "checks" utilization far more frequently (near-constantly) than SLURM does (approximately every 30 seconds). When cgroups detects that a process has exceeded its allocation (even for a moment), the above message is sent to Slurm, and the job is killed. The job is then given the OUT_OF_MEMORY state. However, cgroups does not pass SLURM the actual usage amount, which is why sacct or O2sacct may not be accurate if the job is killed by cgroups in between scheduler polling periods.

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Sometimes the problem is from the program itself, and has nothing to do with SLURM. Usually, you will get an error message in the file(s) you wrote with the -o and/or -e parameters. You can also look at the accounting information (through sacct) for your job. If  If you are unable to figure out why the program exited, you can contact Research Computing. Depending on the program and error, we might or might not be able to diagnose and/or fix the problem.

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Your job will report different states before, during, and after execution. The most common ones are seen below, but this is not an exhaustive list. Look at Job State Codes in the squeue manual or this section in the sacct manual for more detail.

Slurm Job Reasons

If your job is pending, the squeue command will show a "reason" why it is unable to run. Some of these reasons are detailed below, but please reference Job Reason Codes in the squeue manual for more detail.