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PrincetonUniversity / jobstats

Jobstats is a job monitoring platform for CPU and GPU clusters
https://princetonuniversity.github.io/jobstats/
GNU General Public License v2.0
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License: GPL v2 Tests DOI

Jobstats

Jobstats is a free and open-source job monitoring platform designed for CPU and GPU clusters that use the Slurm workload manager.

The jobstats command provides users with a job efficiency report:

$ jobstats 39798795

================================================================================
                              Slurm Job Statistics
================================================================================
         Job ID: 39798795
  NetID/Account: aturing/math
       Job Name: sys_logic_ordinals
          State: COMPLETED
          Nodes: 2
      CPU Cores: 48
     CPU Memory: 256GB (5.3GB per CPU-core)
           GPUs: 4
  QOS/Partition: della-gpu/gpu
        Cluster: della
     Start Time: Fri Mar 4, 2022 at 1:56 AM
       Run Time: 18:41:56
     Time Limit: 4-00:00:00

                              Overall Utilization
================================================================================
  CPU utilization  [|||||                                          10%]
  CPU memory usage [|||                                             6%]
  GPU utilization  [||||||||||||||||||||||||||||||||||             68%]
  GPU memory usage [|||||||||||||||||||||||||||||||||              66%]

                              Detailed Utilization
================================================================================
  CPU utilization per node (CPU time used/run time)
      della-i14g2: 1-21:41:20/18-16:46:24 (efficiency=10.2%)
      della-i14g3: 1-18:48:55/18-16:46:24 (efficiency=9.5%)
  Total used/runtime: 3-16:30:16/37-09:32:48, efficiency=9.9%

  CPU memory usage per node - used/allocated
      della-i14g2: 7.9GB/128.0GB (335.5MB/5.3GB per core of 24)
      della-i14g3: 7.8GB/128.0GB (334.6MB/5.3GB per core of 24)
  Total used/allocated: 15.7GB/256.0GB (335.1MB/5.3GB per core of 48)

  GPU utilization per node
      della-i14g2 (GPU 0): 65.7%
      della-i14g2 (GPU 1): 64.5%
      della-i14g3 (GPU 0): 72.9%
      della-i14g3 (GPU 1): 67.5%

  GPU memory usage per node - maximum used/total
      della-i14g2 (GPU 0): 26.5GB/40.0GB (66.2%)
      della-i14g2 (GPU 1): 26.5GB/40.0GB (66.2%)
      della-i14g3 (GPU 0): 26.5GB/40.0GB (66.2%)
      della-i14g3 (GPU 1): 26.5GB/40.0GB (66.2%)

                                     Notes
================================================================================
  * This job only used 6% of the 256GB of total allocated CPU memory. For
    future jobs, please allocate less memory by using a Slurm directive such
    as --mem-per-cpu=1G or --mem=10G. This will reduce your queue times and
    make the resources available to other users. For more info:
      https://researchcomputing.princeton.edu/support/knowledge-base/memory

  * This job only needed 19% of the requested time which was 4-00:00:00. For
    future jobs, please request less time by modifying the --time Slurm
    directive. This will lower your queue times and allow the Slurm job
    scheduler to work more effectively for all users. For more info:
      https://researchcomputing.princeton.edu/support/knowledge-base/slurm

  * For additional job metrics including metrics plotted against time:
    https://mydella.princeton.edu/pun/sys/jobstats  (VPN required off-campus)

Getting Started

Begin with What is Jobstats? in the documentation.

Users of the Jobstats Platform