Рет қаралды 108
Previous seminars in this series have described using Python tools to explore job properties and usage characteristics on the Digital Research Alliance of Canada general purpose compute clusters. The end goal of exploring job properties and usage characteristics is to get the most out of the resources available to research accounts and to minimize wait times in the job queue. This seminar reviews important properties of the scheduling configuration that may impact research throughput, then demonstrates how portals can help explore the relevant properties of research account compute usage on the clusters.
_______________________________________________
This webinar was presented by James Desjardins (SHARCNET) on July 17th, 2024, as a part of a series of weekly Compute Ontario Colloquia. The webinar was hosted by SHARCNET. The colloquia cover different advanced research computing (ARC) and high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: www.computeont... . Recordings, slides, and other materials can be found here: helpwiki.sharc...
SHARCNET is a consortium of 19 Canadian academic institutions who share a network of high performance computers (www.sharcnet.ca). SHARCNET is a part of Compute Ontario (computeontario.ca/) and Digital Research Alliance of Canada (alliancecan.ca).