Understanding HPC Performance Goals | HPC Performance Series

Описание: What does "performance" actually mean for your HPC jobs? Before you start optimizing, you need to know whether you're racing a deadline or maximizing your allocation.

In this first video of our HPC performance series, we explore the two main goals when running jobs on HPC clusters: turnaround time and efficiency. Learn when to use more nodes for faster results, when to scale down for better efficiency, and how to handle ensemble runs where you're competing with yourself for resources.

Key Topics Covered:

The difference between turnaround time and efficiency
Three common scenarios: deadline-driven jobs, allocation optimization, and ensemble runs
Essential terminology: wall time, queue time, node-hours, and job efficiency
What metrics you can measure on an HPC cluster
How to make data-driven decisions about scaling your jobs

About This Series:
This video series is based on the work of Dr. Douglas Pase of Sandia Laboratories and covers practical performance analysis techniques for HPC applications. We'll show you how to measure, analyze, and optimize your cluster jobs using Trenza Survey, a lightweight performance measurement tool.

Speaker: Kris Frye, Trenza Synergy
#HPC #HighPerformanceComputing #Performance #Optimization #ResearchComputing