- author = "Tony E. Lewis and George D. Magoulas",
- title = "Identifying Similarities in TMBL Programs with Alignment to Quicken Their Compilation for GPUs",
- 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, Artificial Intelligence, Automatic Programming, program synthesis, Performance, Tweaking Mutation Behaviour Learning (TMBL), Alignment, Graphics Card, Graphics Processing Unit, GPU, CUDA",
- pages = "447--454",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
-
DOI = "
doi:10.1145/2001858.2002032",
- size = "8 pages",
- abstract = "The most impressive accelerations of Genetic Programming (GP) using the Graphics Processing Unit (GPU) have been achieved by dynamically compiling new GPU code for each batch of individuals to be evaluated. This approach suffers an overhead in compilation time. We aim to reduce this penalty by pre-processing the individuals to identify and draw out their similarities, hence reducing duplication in compilation work. We use this approach with Tweaking Mutation Behaviour Learning (TMBL), a form focused on long term fitness growth. For individuals of 300 instructions, the technique is found to reduce compilation time 4.817 times whilst only reducing evaluation speed by 3.656percent.",
-
notes = "wk307c-lewis.pdf Computational Intelligence on
Consumer Games and Graphics Hardware Also known as
\cite{2002032} Distributed on CD-ROM at GECCO-2011.
ACM Order Number 910112.",
