From Sharcnet HP
In this short video you will learn how to find the peak memory usage of your programs (serial or multi-threaded), on Graham and other Compute Canada national systems.
From Sharcnet HP
In this short video you will learn how to find the peak memory usage of your programs (serial or multi-threaded), on Graham and other Compute Canada national systems.
From Sharcnet HPC
GPUs with NVIDIA CUDA architecture are usually programmed using the C language, but NVIDIA also provides a method of programming GPUS with Fortran.
If you are intending to run the same program with the different input files, it is best you use Jobs Array instead of creating separate programs for the input files which is tedious. It is very easy
To create an arrays jobs, you have to use the -J option on the PBS Scripts. For 10 sub-jobs, you do the following
#PBS -J 1-10
If your input files are concatenated with a running number. For example, if your input file is data1.gjf, data2.gjf, data3.gjf, data4.gjf, data5.gjf ….. data10.gjf
inputfile=data$PBS_ARRAY_INDEX.gjf
a. To submit the jobs, just
% qsub yoursubmissionscript.pbs
b. You will notice that after you qstat, you will notice that your jobs bas a “B”
% qstat -u user1
544198[].node1 Gaussian-09e user1 0 B q32
You have to do a “-t” or “-Jt”
% qstat -t 544198[]
% qstat -t 544198[]
Job id Name User Time Use S Queue
---------------- ---------------- ---------------- -------- - -----
544198[].node1 Gaussian-09e user1 0 B q32
544198[54].node1 Gaussian-09e user1 00:40:21 R q32
544198[55].node1 Gaussian-09e user1 00:15:25 R q32
% qdel "544198[5]"
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