Title :
Performance prediction for complex parallel applications
Author :
Brehm, Jürgen ; Worley, Patrick H.
Author_Institution :
Inst. fur Rechnerstrukturen und Betriebssysteme, Hannover Univ., Germany
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
Keywords :
parallel architectures; parallel machines; performance evaluation; Intel Paragon; Parallel Spectral Transform Shallow Water Model code; PerPreT; Performance Prediction Tool; complex parallel applications; massively parallel machines; message-passing systems; parallel architectures; parallel design decisions; parallelization strategies; performance prediction; Application software; Concurrent computing; Context modeling; Laboratories; Microprocessors; Parallel architectures; Parallel machines; Predictive models; Productivity; Throughput;
Conference_Titel :
Parallel Processing Symposium, 1997. Proceedings., 11th International
Conference_Location :
Genva
Print_ISBN :
0-8186-7793-7
DOI :
10.1109/IPPS.1997.580884