Home > Archives > Sameer Shende   Sameer Shende University of Oregon http://www.cs.uoregon.edu/~sameer/ Performance Technology for Complex Parallel Systems Fundamental to the development and use of parallel and distributed systems is the ability to observe, analyze, and understand their performance at different levels of system implementation, with different performance data and detail, for different application types, and across alternative system and software environments. However, the growing complexity of parallel and distributed systems challenge the ability of performance technologists to produce tools and methods that are at once robust and ubiquitous. The ability of performance technology to keep pace will depend on performance frameworks that can both provide system-specific performance capabilities and support high-level performance problem solving. In this talk, we propose an approach to performance technology development for complex parallel and distributed systems based on a general complex systems computation model and a modular performance observation and analysis framework. The computation model defines a hierarchical execution architecture reflecting dominant features of modern systems and the layers of software available. The TAU performance framework is offered as an example of a flexible, configurable, and extensible performance tool system for instrumentation, measurement, and analysis. The TAU system architecture and its rich capabilities are discussed in detail. TAU's ability to address complex system performance requirements is demonstrated in several examples, including those involving multi-layered software, multi-threading, hybrid shared memory and message passing, and combined task/data parallelism. We conclude the talk with a look at recent TAU developments and directions for the future.
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