Performance monitoring of parallel scientific applications

Skinner, David

Lawrence Berkeley National Laboratory

关键词: Metrics;    Monitoring;    Performance;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/881368
RP-ID  :  LBNL/PUB--5503
RP-ID  :  DE-AC02-05CH11231
RP-ID  :  881368

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.