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1999
IEEE

Evaluation of a Semi-Static Approach to Mapping Dynamic Iterative Tasks onto Heterogeneous Computing Systems

9 years 4 months ago
Evaluation of a Semi-Static Approach to Mapping Dynamic Iterative Tasks onto Heterogeneous Computing Systems
To minimize the execution time of an iterative application in a heterogeneous parallel computing environment, an appropriate mapping scheme is needed for matching and scheduling the subtasks of the application onto the processors. When some of the characteristics of the application subtasks are unknown a priori and will change from iteration to iteration during execution-time, a semi-static methodology can be employed, that starts with an initial mapping but dynamically decides whether to perform a remapping between iterations of the application, by observing the effects of these dynamic parameters on the application's execution time. The objective of this study is to implement and evaluate such a semi-static methodology. For analyzing the effectiveness of the proposed scheme, it is compared with two extreme approaches: a completely dynamic approach using a fast mapping heuristic and an ideal approach that uses a genetic algorithm on-line but ignores the time for remapping. Experi...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where ISPAN
Authors Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay Siegel, Arif Ghafoor, Ishfaq Ahmad
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