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ICPADS
1994
IEEE

Stochastic Modeling of Scaled Parallel Programs

11 years 9 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and problem sizes. Ideally, scalability issues would be addressed during parallel program design, but tools are not presently available that allow program developers to study the impact of algorithmicchoices under different problem and system scenarios. Hence, scalability analysis is oftenreserved to existing(and available)parallelmachines as well as implemented algorithms. In this paper, we propose techniques for analyzing scaled parallel programs using stochastic modeling approaches. Although allowing more generality and flexibility in analysis, stochastic modeling of large parallel programs is difficult due to solution tractability problems. We observe, however, that the complexity of parallel program models depends significantly on the type of parallel computation, and we present several computation classes wh...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1994
Where ICPADS
Authors Allen D. Malony, Vassilis Mertsiotakis, Andreas Quick
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