Profiling a Parallel Language Based on Fine-Grained Communication (1996)
| Venue: | Communication,” Proceedings of Supercomputing ’96 |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Haake96profilinga,
author = {Björn Haake and Klaus E. Schauser and Chris J. Scheiman},
title = {Profiling a Parallel Language Based on Fine-Grained Communication},
booktitle = {Communication,” Proceedings of Supercomputing ’96},
year = {1996}
}
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Abstract
Fine tuning the performance of large parallel programs is a very difficult task. A profiling tool can provide detailed insight into the utilization and communication of the different processors, which helps identify performance bottlenecks. In this paper we present a profiler for the fine-grained parallel programming language Split-C, which provides a simple global address space memory model. As our experience shows, it is much more challenging to profile programs that make use of efficient, low-overhead communication. We incorporated techniques which minimize profiling effects on the running program. We quantify the profiling overhead and present several Split-C applications which show that the profiler is useful in determining performance bottlenecks.
