ALCF: Registration Open for Polaris HPC Bootcamp on July 19

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The Argonne Leadership Computing Facility (ALCF) announced that registration is now open for a bootcamp on Wednesday, July 19, that will introduce attendees to the Polaris HPC computing environment.

Aimed at participants who have experience using clusters or supercomputers, the bootcamp will cover the PBS job scheduler, utilizing preinstalled environments, proper compiler and profiler use, Python environments, and running Jupyter Notebooks. The goal is to inform attendees of where these tools are located and which ones to use.

The event will be held from 9:30-11:30 am Central Time.

The second segment of the bootcamp is focused on NVIDIA Developer Tools. These tools are available for detailed performance analysis of HPC applications running on Polaris’s NVIDIA A100 GPUs. In the session, several use cases of Nsight Systems and Nsight Compute will be presented via a demo with simple HPC benchmarks on Polaris.

Speakers will be:

JaeHyuk Kwack is a member of performance engineering group at Argonne Leadership Computing Facility (ALCF). He is a lead of performance tools for ALCF computing resources, and he is responsible for ensuring the readiness of a number of major scientific applications for performant use on the U.S. Department of Energy’s (DOE) forthcoming Aurora exascale system.

Taylor Childers has a Ph.D. in Physics from Univ. of Minnesota. He worked at the CERN laboratory in Geneva, Switzerland for six years as a member of the ATLAS experiment and a co-author of the Higgs Boson discovery paper in July 2012. He has worked in physics analysis, workflows, and simulation from scaling on DOE supercomputers to fast custom electronics (ASIC/FPGA). He applies deep learning to science domain problems, including using Graph Neural Networks to perform semantic segmentation to associate each of the 100 million pixels of the ATLAS detector to particles originating from the proton collisions. He is currently working with scientists from different domains to apply deep learning to their datasets and take advantage of Exascale supercomputers arriving in the next few years.

All the tutorials are available on our GitHub repository and this bootcamp will be a live demonstration which users can run at the same time and ask questions or get help when things fail unexpectedly.