Design and Implementation of a Parallel Performance Data Management Framework

Empirical performance evaluation of parallel systems and applications can generate significant amounts of performance data and analysis results from multiple experiments as performance is investigated and problems diagnosed. Hence, the management of performance information is a core component of performance analysis tools. To better support tool integration, portability, and reuse, there is a strong motivation to develop performance data management technology that can provide a common foundation for performance data storage, access, merging, and analysis. This paper presents the design and implementation of the Performance Data Management Framework (PerfDMF). PerfDMF addresses objectives of performance tool integration, interoperation, and reuse by providing common data storage, access, and analysis infrastructure for parallel performance profiles. PerfDMF includes an extensible parallel profile data schema and relational database schema, a profile query and analysis programming i...

• Type: Conference
• Year: 2005
• Where: ICPP
• Authors: Kevin A. Huck, Allen D. Malony, Robert Bell, Alan Morris
• Keywords: Distributed And Parallel Computing, ICPP 2005, Performance, Performance Data, Performance Data Management