Performance-Measurement Tools in a Multiprocessor Environment
IEEE Transactions on Computers
Envisioning information
Tools and techniques for performance measurement and performance improvement in parallel programs
Tools and techniques for performance measurement and performance improvement in parallel programs
Visualizing the performance of SPMD and data-parallel programs
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
Categories and context in scalable execution visualization
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
IPS-2: The Second Generation of a Parallel Program Measurement System
IEEE Transactions on Parallel and Distributed Systems
A Tool for Optimizing Programs on Massively Parallel Computer Architectures
HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume II: Networking and Tools
An Integrated Environment for Programming Distributed Memory Multiprocessors
EDMCC2 Proceedings of the 2nd Euronean Conference on Distributed Memory Computing
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This paper introduces a tool for optimizing programs on massively parallel computing systems. The tool has been implemented for a PowerPC based parallel computing platform. It is scalable with respect to its implementation and an the way it presents performance data. A major feature contributing to the scalable representation of performance data is the ability to focus measurements on points of interest in the program execution by specifying behavioral attributes. Behavioral attributes are given as thresholds to the results of other measurements. Thus a direct link between results of different measurements can be made which enables the user to link global system behavior to the execution of individual program parts.