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» A SIMD Interpreter for Genetic Programming on GPU Graphics C...
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ISPASS
2009
IEEE
14 years 2 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
CEC
2010
IEEE
13 years 8 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman
CEC
2008
IEEE
14 years 2 months ago
Evolving GeneChip correlation predictors on parallel graphics hardware
—A GPU is used to datamine five million correlations between probes within Affymetrix HG-U133A probesets across 6685 human tissue samples from NCBI’s GEO database. These conco...
William B. Langdon