![]() This information can be very useful not only to understand how resources are being utilized but to troubleshoot many problems as well. Wrapping things upĪs you can see the Performance tab provides great information on how your computer's hardware is performing with easy to understand graphs and important system and hardware details. You will see additional information in the Bluetooth section when you connect your phone or another device, and you begin transferring data. The reason is that this is actually a network adapter, and it's not meant for peripherals like speakers, keyboard, and mouse. We recommend setting an environment variable to customize the output.In the Performance tab, you'll also notice that there is a Bluetooth section, which is probably showing as "Not connected," even though you have connected a Bluetooth device to your computer. Unfortunately, the default output from sacct is not as useful. You can also use the more flexible sacct to get that info, along with other more advanced job queries. These jobs could have been scheduled more quickly if a more accurate runtime was specified. However, the requested runtime was for an hour, while the jobs only ran for six minutes. In this example, we see that the average memory usage was just under 1GiB, which is reasonable for the 2GiB requested. The application CPU usage monitor tab on your AppOptics dashboard visualizes CPU utilization and memory with graphical displays, color-coded data, and time. 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$USER -o %cpu,rss,argsĩ2.6 79446140 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ4.5 80758040 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ2.6 79676460 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ2.5 81243364 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetaskĩ3.8 80799668 /gpfs/ysm/apps/hpc/Apps/Matlab/R2016b/bin/glnxa64/MATLAB -dmlworker -nodisplay -r distcomp_evaluate_filetask The easiest way to check the instantaneous memory and CPU usage of a job is to ssh to a compute node your job is running on. If your job is already running, you can check on its usage, but will have to wait until it has finished to find the maximum memory and CPU used. To know how much RAM your job used (and what jobs like it will need in the future), look at the "Maximum resident set size" Running Jobs Minor (reclaiming a frame ) page faults: 30799 Maximum resident set size (kbytes ): 6328 Stress-ng: info: successful run completed in 10.08sĬommand being timed: "stress-ng -cpu 8 -timeout 10s"Įlapsed (wall clock ) time (h:mm:ss or m:ss ): 0:10.09 National ~ ]$ /usr/bin/time -v stress-ng -cpu 8 -timeout 10s
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