GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
复制标题
用于大型生物信息学数据挖掘的 SPMD 并行图形硬件上的 GP
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
A. Harrison
中科院分区：
文献类型：
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作者：
W. Langdon;A. Harrison
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 HG-U133B的GENECHIP活检每人都有500万个计划的人口，每秒可提供5亿GPOPS的有用变量。
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.
影响因子：
4.8
作者：
Yu, Jianjun;Yu, Jindan;Chinnaiyan, Arul M.
通讯作者：
Chinnaiyan, Arul M.