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.
Month: January 2021
Programming GPUs with Fortran
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.
Running Arrays on PBS Professional
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
Amending the Submission Scripts (Part 1)
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
Amending the Submission Scripts (Part 2)
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
Submitting the Jobs
a. To submit the jobs, just
% qsub yoursubmissionscript.pbs
Checking Jobs
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
To delete the Sub Jobs
% qdel "544198[5]"
Supercomputing Asia (SCA) 2021
For more Information, do take a look at https://www.sc-asia.org/. The Registration fees are very affordable as well.
How HPC Enables Drug Design, and AstraZeneca Lessons in HPC
Dell Technologies HPC Community Event
HPC and accelerator-driven computing have become pivotal to drive research in Pharma. Where 5 years ago less than 1% of the researchers actively used HPC resources, AstraZeneca is driving a clear strategy to gain the majority of insights by 2025 through data and AI. This ambition is leading to a constant change in how our researchers work and are presenting an unstoppable appetite for computing.
We will discuss the journey of the last 5 years renewing the approach we are taking towards high-performance computing, explore use cases that are leveraging compute in significantly different ways, driving our research in innovative ways, and share an outlook and vision into our future direction.
To register https://dell.zoom.us/webinar/register/WN_LNxAOzXRQQyW_3nYwmwBnA
Graphics Trace Analyzer Deep Dive (Part 4)
This video will take a deeper look into analyzing selected events in Graphics Trace Analyzer to begin profiling and pinpointing performance regressions issues in your applications.
Graphics Trace Analyzer Deep Dive (Part 3)
This video will demonstrate how to configure your Graphics Trace Analyzer view so that the layout best suits your use case, by altering track colors, adding or removing tracks, and reorganizing track positions.
Graphics Trace Analyzer Deep Dive (Part 2)
This video will demonstrate how to open and explore a trace captured from a graphics application, while highlighting user interface features in Graphics Trace Analyzer to pinpoint CPU and GPU activity based on the captured and visualized on timeline tracks different platform and hardware metrics and performance events
Graphics Trace Analyzer Deep Dive (Part 1)
Graphics Trace Analyzer Deep Dive | Part 1 | Configure and Capture a Trace | Intel Software
This video will demonstrate fundamental trace capture capabilities in Graphics Monitor that will aid in the configuration of a variety of performance data available for graphics application analysis trace files in Graphics Trace Analyzer.
