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Evolving parallel machine programs for a multi-ALU processor

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3 Author(s)
Kwong Sak Leung ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China ; Kin Hong Lee ; Sin Man Cheang

This paper proposes a novel genetic parallel programming (GPP) paradigm for evolving optimal parallel programs running on a multi-ALU processor by linear genetic programming. GPP uses a two-phase evolution approach. It evolves completely correct solution programs in the first phase. Then it optimizes execution speeds of solution programs in the second phase. Besides, GPP also employs a new genetic operation that swaps sub-instructions of a solution program. Three experiments (Sextic, Fibonacci and Factorial) are given as examples to show that GPP could discover novel parallel programs that fully utilize the processor's parallelism

Published in:

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on  (Volume:2 )

Date of Conference:

2002

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