2556

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon
King’s College, London, Strand, London, WC2R 2LS, UK
Technical Report TR-09-05, Department of Computer Science, King’s College London

@TechReport{langdon:2009:TR-09-05,

   author={“W.B.Langdon”},

   title={“A{CUDA}{SIMT}InterpreterforGenetic~Programming”},

   institution={“DepartmentofComputerScience},

   year={“2009”},

   number={“TR-09-05”},

   address={“Strand},

   month={“18″#jun},

   note={“Revised”},

   keywords={“geneticalgorithms},

   URL={“http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-09-05.pdf”},

   URL2={“http://www.gpgpgpu.com/gecco2009/5.pdf”},

   size={“2pages”}

}

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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