Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7649
Title: Evolving parallel machine programs for a multi-ALU processor
Authors: Prof. LEUNG Kwong Sak 
Lee, Kin Hong 
Cheang, Sin Man 
Issue Date: 2002
Publisher: IEEE Computer Society
Source: Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, vol. 2, pp. 1703 - 1708, Article number 1004499
Journal: Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 
Abstract: 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. © 2002 IEEE.
Type: Conference Proceedings
URI: http://hdl.handle.net/20.500.11861/7649
ISBN: 0780372824
978-078037282-5
DOI: 10.1109/CEC.2002.1004499
Appears in Collections:Applied Data Science - Publication

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