Performance prediction for complex parallel applications

authored by

Juergen Brehm, Patrick H. Worley

Abstract

Today's massively parallel machines are typically message-passing systems consisting of hundreds or thousands of processors. Implementing parallel applications efficiently in this environment is a challenging task, and poor parallel design decisions can be expensive to correct. Tools and techniques that allow the fast and accurate evaluation of different parallelization strategies would significantly improve the productivity of application developers and increase throughput on parallel architectures. This paper investigates one of the major issues in building tools to compare parallelization strategies: determining what type of performance models of the application code and of the computer system are sufficient for a fast and accurate comparison of different strategies. The paper is built around a case study employing the Performance Prediction Tool (PerPreT) to predict performance of the Parallel Spectral Transform Shallow Water Model code (PSTSWM) on the Intel Paragon.

Organisation(s)

Systems and Computer Architecture Section

Type

Conference article

Journal

Proceedings of the International Parallel Processing Symposium, IPPS

Pages

187-191

No. of pages

5

ISSN

1063-7133

Publication date

1997

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Hardware and Architecture