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2006
IEEE

A Performance Prediction Methodology for Data-dependent Parallel Applications

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A Performance Prediction Methodology for Data-dependent Parallel Applications
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both deterministic applications and non-deterministic applications. In particular, the performance prediction of datadependent programs is an extremely challenging problem because for a specific issue the input datasets may cause different execution times. Generally, a parallel application is characterized as a collection of tasks and their interrelations. If the application is time-critical it is not enough to work with only one value per task, and consequently knowledge of the distribution of task execution times is crucial. The development of a new prediction methodology to estimate the performance of data-dependent parallel applications is the primary target of this study. This approach makes it possible to evaluate the parallel performance of an application without the need of implementation. A real data-dependent ...
Paula Cecilia Fritzsche, Concepció Roig, An
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where CLUSTER
Authors Paula Cecilia Fritzsche, Concepció Roig, Ana Ripoll, Emilio Luque, Aura Hernandez
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