- author = "W. B. Langdon",
- title = "A {CUDA SIMT} Interpreter for Genetic Programming",
- institution = "Department of Computer Science, King's College London",
- year = "2009",
- number = "TR-09-05",
- address = "Strand, WC2R 2LS, UK",
- month = "18 " # jun,
- note = "Revised",
- keywords = "genetic algorithms, genetic programming, GPU, GPGPU, parallel computing, SIMD, Tesla, sub-machine code GP, CUDA",
-
URL = "
http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-09-05.pdf",
-
URL = "http://www.gpgpgpu.com/gecco2009/5.pdf",
-
code_url = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gp32cuda.tar.gz",
- abstract = "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.",
-
notes = "Revised entry to GPUs for Genetic and Evolutionary
Computation \href{http://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",
