Abaqus/en: Difference between revisions

Sharcnet provides a small but free license consisting of 2cae and 21 execute tokens where usage limits are imposed 10 tokens/user and 15 tokens/group.  For groups that have purchased tokens, the free token usage limits are added to their reservation.  The free tokens are available on a first come first serve basis and mainly intended for testing and light usage before deciding whether or not to purchase dedicated tokens.  The license can be used by any Compute Canada member but only on SHARCNET hardware - purchased tokens that run on the license server fall under the same agreement.  Such hardware includes gra-vdi for running abaqus in full graphical mode and graham cluster for submitting compute batch jobs to the queue.  Before you can use the license you must open ticket at <support@computecanada.ca> and request access.  In your email 1) mention that it is for use on Sharcnet systems and 2) include a copy/paste of the following <tt>License Agreement</tt> statement with your full name and Compute Canada username entered in the indicated locations.  Please note that every user must do this ie) cannot be done one time only for a group (including PIs who have purchased their own dedicated tokens).

To ensure optimal usage of both your Abaqus tokens and the Compute Canada resources its important to carefully specify the required memory and ncpus in your slurm script.  The values can be determined by submitting a few short test jobs to the queue then checking their utilization.  For <b>completed</b> jobs use <code>seff JobNumber</code> to show the total "Memory Utilized" and "Memory Efficiency"; If the "Memory Efficiency" is less than ~90% decrease the value of "#SBATCH --mem=" setting in your slurm script accordingly.  Notice that the <code>seff JobNumber</code> command also shows the total "CPU (time) Utilized" and "CPU Efficiency"; If the "CPU Efficiency" is less than ~90% perform scaling tests to determine the optimal number of cpu's for optimal performance and then update the value of then update the value of "#SBATCH --cpus-per-task=" in your slurm script.  For <b>running</b> jobs use the <code>srun --jobid=29821580 --pty top -d 5 -u $USER</code> command to watch the %CPU, %MEM and RES for each abaqus parent process on the compute node; The %CPU and %MEM columns display the percent usage relative to the total available on the node while the RES column shows the per process resident memory size (in human readable format for values over 1gb). Further information regarding howto [https://docs.computecanada.ca/wiki/Running_jobs#Monitoring_jobs Monitor Jobs] is available in the Compute Canada wik