On Utilizing Experiment Data Repository for Performance Analysis of Parallel Applications

Performance data usually must be archived for various performance analysis and optimization tasks such as multi-experiment analysis, performance comparison, automated performance diagnosis. However, little eort has been done to employ data repositories to organize and store performance data. This lack of systematic organization of data has hindered several aspects of performance analysis tools such as performance comparison, performance data sharing and tools integration. In this paper we describe our approach to exploit a relational-based experiment data repository in SCALEA which is a performance instrumentation, measurement, analysis and visualization tool for parallel programs