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Presenter: James Desjardins, SHARCNET
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.