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Parameter estimation for a generalized parallel loop scheduling algorithm

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2 Author(s)
Yue, K.K. ; Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA ; Lilja, D.J.

Proposes a novel methodology to develop new parallel loop scheduling algorithms. First, existing algorithms are parameterized into a general framework. Then, a genetic algorithm is used with a shared-memory multiprocessor simulator to “evolve” better strategies. Two new algorithms (called CS-2 and FS-alt, due to their similarity to chunk scheduling and factoring, respectively) are found that perform well compared to existing algorithms

Published in:

System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on  (Volume:2 )

Date of Conference:

3-6 Jan 1995