DESCRIPTION: This hands-on co urse is designed for researchers who want to take their high-performance c omputing (HPC) workflows to the next level. Whether you'\;re new to lar ge-scale computing or looking to optimize your current practices\, this co urse will guide you through the key steps to efficiently scale your applic ations on HPC systems.
Participants will begin by identifying their specific applications and learn how to properly compile their code for HPC environments. The course covers essential topics including running intera ctive sessions\, performance tuning\, and efficient batch job submission-c omplete with practical script examples. You'\;ll also explore strategie s for checkpointing\, monitoring job progress\, and effective debugging te chniques.
Through a combination of lectures and hands-on exercises\, this course offers real-world insights into improving performance\, reduc ing run times\, and making the most of shared computing resources. By the end\, you'\;ll be equipped with the tools and knowledge needed to run s calable\, reliable\, and efficient HPC workflows.
TEACHERS: Jaime Pi nto (SciNet\, University of Toronto) and Sergey Maschenko (SHARCNET\, McMa ster University)
LEVEL: Introductory
FORMAT: Lecture + Hands-o n
CERTIFICATE: Completion
PREREQUISITES: None
SUMMARY:Scaling Up HPC Workflows (Session 2 of 2) URL;VALUE=URI:https://training.computeontario.ca/courses/course/view.php?id =43 END:VEVENT END:VCALENDAR