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GECCO
2007
Springer
207views Optimization» more  GECCO 2007»
13 years 10 months ago
A data parallel approach to genetic programming using programmable graphics hardware
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Darren M. Chitty
ICNC
2005
Springer
13 years 10 months ago
Parallel Genetic Algorithms on Programmable Graphics Hardware
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan
VISUALIZATION
2003
IEEE
13 years 9 months ago
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Segmentation of structures from measured volume data, such as anatomy in medical imaging, is a challenging data-dependent task. In this paper, we present a segmentation method tha...
Anthony Sherbondy, Michael Houston, Sandy Napel
SOCO
2008
Springer
13 years 4 months ago
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
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 te...
William B. Langdon, Andrew P. Harrison
CEC
2008
IEEE
13 years 11 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