MATE: Toward Scalable Automated and Dynamic Performance Tuning Environment

MATE (Monitoring, Analysis and Tuning Environment) is a tuning environment for MPI parallel applications [1]. It augments on-line automated performance diagnosis with dynamic code optimization to combine the advantages of both automated analysis and computational steering. MATE does not require program modifications to expose steerable parameters. Instead, it uses dynamic instrumentation to adjust program parameters. With MATE an application is monitored, its performance bottlenecks are detected, their solutions are given, and the application is tuned on the fly to improve its performance. All these steps are performed automatically, dynamically, and continuously during application execution. MATE uses DynInst [2] to insert instrumentation into running code, collect performance data, and finally tune the application. The fundamental idea is that dynamic analysis and online modifications adapt the application behavior to changing conditions in the execution environment or in the application itself.