%0 Journal Article %1 langdon:2008:SC %A Langdon, W. B. %A Harrison, A. P. %D 2008 %J Soft Computing %K 1, Affymetrix C++ C17orf81, GCC GEO GPU, GSE3494 Graphics HG-U133A, HG-U133B, Lance Miller's Processing RapidMind S-adenosylhomocysteine SIMD, Ubuntu Unit, Uppsala algorithm, algorithms, biopsy, breast cancer, computing, consumer data decorin, evolutionary fibulin genetic graphics hardware, hydrolase, mining, parallel programming, soft tumour %R doi:10.1007/s00500-008-0296-x %T GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining %X We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten year+ outcome of breast cancer from a dataset containing a million inputs. NCBI GEO GSE3494 contains hundreds of Affymetrix HG-U133A and HG-U133B GeneChip biopsies. Multiple GP runs each with a population of 5 million programs winnow useful variables from the chaff at more than 500 million GPops per second. Sources available via FTP.

@article{langdon:2008:SC, abstract = {We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten year+ outcome of breast cancer from a dataset containing a million inputs. NCBI GEO GSE3494 contains hundreds of Affymetrix HG-U133A and HG-U133B GeneChip biopsies. Multiple GP runs each with a population of 5 million programs winnow useful variables from the chaff at more than 500 million GPops per second. Sources available via FTP.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Langdon, W. B. and Harrison, A. P.}, biburl = {https://www.bibsonomy.org/bibtex/2d6cdb59b1ae738bfedf23bc951175dbc/brazovayeye}, doi = {doi:10.1007/s00500-008-0296-x}, interhash = {5812270705b12c2f78f7b3c8537e7ce0}, intrahash = {d6cdb59b1ae738bfedf23bc951175dbc}, journal = {Soft Computing}, keywords = {1, Affymetrix C++ C17orf81, GCC GEO GPU, GSE3494 Graphics HG-U133A, HG-U133B, Lance Miller's Processing RapidMind S-adenosylhomocysteine SIMD, Ubuntu Unit, Uppsala algorithm, algorithms, biopsy, breast cancer, computing, consumer data decorin, evolutionary fibulin genetic graphics hardware, hydrolase, mining, parallel programming, soft tumour}, note = {Special Issue. On line first}, notes = {http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gpu_gp_2.tar.gz}, size = {11 pages}, timestamp = {2008-06-19T17:45:08.000+0200}, title = {{GP} on {SPMD} parallel Graphics Hardware for mega Bioinformatics Data Mining}, year = 2008 }