Performance optimization of distributed applications in an extensible, adaptive environment

Management of performance data is central to the optimization process for complex, high-performance parallel and distributed systems. Management involves data collection, storage, transfer, buffering, filtering, processing, rendering, and presentation by various instrumentation, visualization, and analysis tools. Tool integration technologies and environments play a significant role in making different tools easier to combine and use. We present the PG(RT) environment that we have developed for these purposes. We describe how domain-specific instrumentation and visualization can be developed in PG(RT) and present two examples. The PG(RT) infrastructure is designed to support advanced analysis for resource scheduling, application and instrumentation steering, and performance data mining. (C) 2001 Elsevier Science B.V. All rights reserved.