Evolutionary Computing on Consumer-Level Graphics Hardware
The Chinese University of Hong Kong
IEEE Intelligent Systems, Volume 22, Issue 2, p.69-78
We propose implementing a parallel EA on consumer graphics cards, which we can find in many PCs. This lets more people use our parallel algorithm to solve large-scale, real-world problems such as data mining. Parallel evolutionary algorithms run on consumer-grade graphics hardware achieve better execution times than ordinary evolutionary algorithms and offer greater accessibility than those run on high-performance computers
January 23, 2011 by hgpu
