- author = "Simon L. Harding and Wolfgang Banzhaf",
- title = "Distributed Genetic Programming on {GPUs} using {CUDA}",
- booktitle = "Workshop on Parallel Architectures and Bioinspired Algorithms",
- year = "2009",
- editor = "Ignacio Hidalgo and Francisco Fernandez and Juan Lanchares",
- pages = "1--10",
- address = "Raleigh, NC, USA",
- month = "13 " # sep,
- publisher = "Universidad Complutense de Madrid",
- keywords = "genetic algorithms, genetic programming, GPU",
-
URL = "
http://www.evolutioninmaterio.com/preprints/CudaParallelCompilePP.pdf",
-
abstract = "Using of a cluster of Graphics Processing Unit (GPU)
equipped computers, it is possible to accelerate the
evaluation of individuals in Genetic Programming.
Program compilation, fitness case data and fitness
execution are spread over the cluster of computers,
allowing for the efficient processing of very large
datasets. Here, the implementation is demonstrated on
datasets containing over 10 million rows and several
hundred megabytes in size.
Populations of candidate individuals are compiled into NVidia CUDA programs and executed on a set of client computers - each with a different subset of the dataset.
The paper discusses the implementation of the system and acts as a tutorial for other researchers experimenting with genetic programming and GPUs.",
-
notes = "mono dot net.
WPABA'09
http://bioinspired.dacya.ucm.es/doku.php?id=workshops
http://bioinspired.dacya.ucm.es/lib/exe/fetch.php?media=2_cfp_wpaba.pdf",
