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Publication Detail
A CUDA SIMT Interpreter for Genetic Programming
  • Publication Type:
  • Authors:
    Langdon WB
  • publication date:
  • Place of publication:
    Strand, WC2R 2LS, UK
  • Report number:
  • Notes:
    Revised keywords: genetic algorithms, genetic programming, GPU, GPGPU, Tesla, sub-machine code GP, CUDA notes: Revised entry to GPUs for Genetic and Evolutionary Computation \hrefhttp://www.gpgpgpu.com/gecco2009/ Competition, GECCO 2009, 8 July. Code http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gp32cuda.tar.gz Slides http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2009/slides/langdon_SIMT_cigpu.html size: 2 pages
A Single Instruction Multiple Thread CUDA interpreter provides SIMD like parallel evaluation of the whole GP population of quarter of a million RPN expressions on graphics cards and nVidia Tesla T10P. Using sub-machine code GP a sustain peak performance of 212 billion GP operations per second (3300 speed up) and an average of 4.5 peta GP ops per day is reported for a single card on a Boolean induction benchmark never attempted before, let alone solved.
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