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DICTA
2007
13 years 6 months ago
Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware
We present an efficient method for mutual information (MI) computation between images (2D or 3D) for NVIDIA’s ‘compute unified device architecture’ (CUDA) compatible devic...
Ramtin Shams, Nick Barnes
GECCO
2009
Springer
241views Optimization» more  GECCO 2009»
13 years 9 months ago
A fast high quality pseudo random number generator for nVidia CUDA
Previously either due to hardware GPU limits or older versions of software, careful implementation of PRNGs was required to make good use of the limited numerical precision availa...
William B. Langdon
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 8 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
BMCBI
2008
211views more  BMCBI 2008»
13 years 4 months ago
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
Background: Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more t...
Svetlin Manavski, Giorgio Valle
ITNG
2010
IEEE
13 years 2 months ago
Record Setting Software Implementation of DES Using CUDA
—The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibil...
Giovanni Agosta, Alessandro Barenghi, Fabrizio De ...