Performance monitoring of parallel scientific applications
David E. Skinner · 2005
This paper introduces an infrastructure for efficiently collecting performance profiles from parallel HPC codes. Integrated Performance Monitoring (IPM) brings together multiple sources of performance metrics into a single profile that characterizes the overall performance and resource usage of the application. IPM maintains low overhead by using a unique hashing approach which allows a fixed memory footprint and minimal CPU usage. IPM is open source, relies on portable software technologies and is scalable to thousands of tasks.