Cpu memory monitor9/28/2023 In this example, we see that the average memory usage was just under 1GiB, which is reasonable for the 2GiB requested. This shows how efficiently the resource request was for all the jobs in an array. Requesting less time would allow jobs to run more quickly. seffĪfter the job completes, you can run seff to get some useful information about your job, including the memory used and what percent of your allocated memory that amounts ~]$ seff-array 43283382 Slurm records statistics for every job, including how much memory and CPU was used. Please see our guide on how to set up and use ClusterShell. You can press ? for help and q to quit.įor multi-node jobs clush can be very useful. In the case below, the YEPNEE.exe programs are each consuming ~600MB of memory and each fully utilizing one CPU. For Memory usage, the number you are interested in is RES. You can press u, enter your netid, then enter to filter just your processes. Top runs interactively and shows you live usage statistics. They are also using most of 5 cores, so future jobs like this should request 5 CPUs. Ps reports memory used in kilobytes, so each of the 5 matlab processes is using ~77GiB of RAM. To find the node you should ssh to, ~]$ ps -u$USER -o %cpu,rss,argsĩ2.6 79446140 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ4.5 80758040 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ2.6 79676460 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ2.5 81243364 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ3.8 80799668 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetask The easiest way to check the instantaneous memory and CPU usage of a job is to ssh to a compute node your job is running on. If your job is already running, you can check on its usage, but will have to wait until it has finished to find the maximum memory and CPU used. To know how much RAM your job used (and what jobs like it will need in the future), look at the "Maximum resident set size" Running Jobs Stress-ng: info: successful run completed in 10.08sĬommand being timed: "stress-ng -cpu 8 -timeout 10s" User time (seconds ): 80.22Įlapsed (wall clock ) time (h:mm:ss or m:ss ): 0:10.09Īverage shared text size (kbytes ): 0 Average unshared data size (kbytes ): 0 Average stack size (kbytes ): 0 Average total size (kbytes ): 0 Maximum resident set size (kbytes ): 6328 Average resident set size (kbytes ): 0 Major (requiring I/O ) page faults: 0 Minor (reclaiming a frame ) page faults: 30799 Voluntary context switches: 1380 Involuntary context switches: 68 Swaps: 0 File system inputs: 0 File system outputs: 0 Socket messages sent: 0 Socket messages received: 0 Signals delivered: 0 National ~ ]$ /usr/bin/time -v stress-ng -cpu 8 -timeout 10s
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |