Graphics Processing Units and Genetic Programming: An overview
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{langdon:2011:SC,
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author = "W. B. Langdon",
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title = "Graphics Processing Units and Genetic Programming: An
overview",
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journal = "Soft Computing",
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year = "2011",
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pages = "1657--1669",
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volume = "15",
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issue = "8",
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month = aug,
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keywords = "genetic algorithms, genetic programming, CUDA, nVidia,
GPGPU, Survey, SIMD parallel interpreter, Reverse
Polish Notation, nvcc compiler, GPU, CIGPU, CELL,
PlayStation 3, Affymetrix GeneChip, breast cancer,
decorin, S-adenosylhomocysteine hydrolase, gzip",
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ISSN = "1432-7643",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_gpu.pdf",
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DOI = "doi:10.1007/s00500-011-0695-2",
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size = "13 pages",
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abstract = "A top end graphics card (GPU) plus a suitable SIMD
interpreter, can deliver a several hundred fold speed
up, yet cost less than the computer holding it. We give
highlights of AI and computational intelligence
applications in the new field of general purpose
computing on graphics hardware (GPGPU). In particular
we survey genetic programming (GP) use with GPU. We
give several applications from Bioinformatics and show
how the fastest GP is based on an interpreter rather
than compilation. Finally using GP to generate GPU CUDA
kernel C++ code is sketched.",
- }
Genetic Programming entries for
William B Langdon
Citations