TMBL Kernels for CUDA GPUs Compile Faster Using PTX

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Tony E. Lewis and George D. Magoulas",
  title =        "TMBL Kernels for CUDA GPUs Compile Faster Using PTX",
  booktitle =    "GECCO 2011 Computational intelligence on consumer
                 games and graphics hardware (CIGPU)",
  year =         "2011",
  editor =       "Simon Harding and W. B. Langdon and Man Leung Wong and 
                 Garnett Wilson and Tony Lewis",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming, GPU,
                 Artificial Intelligence, Automatic Programming, program
                 synthesis, Performance, Tweaking Mutation Behaviour
                 Learning (TMBL), Parallel Thread EXecution (PTX),
                 Graphics Card, Graphics Processing Unit, GPU, CUDA",
  pages =        "455--462",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  DOI =          "doi:10.1145/2001858.2002033",
  size =         "8 pages",
  abstract =     "Many of the most effective attempts to harness the
                 power of the Graphics Processing Unit (GPU) to
                 accelerate Genetic Programming (GP) have dynamically
                 compiled code for individuals as they are to be
                 evaluated. This approach executes very quickly on the
                 GPU but is slow to compile, hence only vast data-sets
                 fully reap its rewards. To reduce compilation time, we
                 generate and compile code in the lower-level language
                 PTX. We investigate this in the context of implementing
                 Tweaking Mutation Behaviour Learning (TMBL) on the GPU.
                 We find that for programs of 300 instructions, using
                 PTX reduces the compile time 5.861 times and even
                 increases the evaluation speed by 23.029percent",
  notes =        "wk308d-lewis.pdf Computational Intelligence on
                 Consumer Games and Graphics Hardware Also known as
                 \cite{2002033} Distributed on CD-ROM at GECCO-2011.

                 ACM Order Number 910112.",

Genetic Programming entries for Tony Lewis George D Magoulas