HPC Software Tracking Strategies for a Diverse Workload

Abstract

This paper discusses and reviews various tools that Ohio Supercomputer Center (OSC) uses for tracking High-Performance Computing (HPC) software usage. Tracking software usage is a key element to support a diverse user community. OSC maintains three data pools: batch job database, data from user executions, and license server logs. We utilize various tools and databases to collect, store and analyze software usage data. These includes pbsacct, Spark, XALT, Lmod, Splunk, License log, Ganglia, and Prometheus/Grafana. We discuss the coverage and gaps for each pool and present some use cases.