Abstract
To enable a scalable parallel application to view its global performance state, we designed and developed TAUg, a portable run-time framework layered on the TAU parallel performance system. TAUg leverages the MPI library to communicate between application processes, creating an abstraction of a global performance space from which profile views can be retrieved. We describe the TAUg design and implementation and show its use on two test benchmarks up to 512 processors. Overhead evaluation for the use of TAUg is included in our analysis. Future directions for improvement are discussed. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Huck, K. A., Malony, A. D., Shende, S., & Morris, A. (2006). TAUg: Runtime global performance data access using MPI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4192 LNCS, pp. 313–321). Springer Verlag. https://doi.org/10.1007/11846802_44
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