Title :
Linear genetic programming GPGPU on Microsoft’s Xbox 360
Author :
Wilson, Garnett ; Banzhaf, Wolfgang
Author_Institution :
Dept. of Comput. Sci., Memorial Univ. of Newfoundland, St. John´´s, NL
Abstract :
We describe how to harness the graphics processing abilities of a consumer video game console (Xbox 360) for general programming on graphics processing unit (GPGPU) purposes. In particular, we implement a linear GP (LGP) system to solve classification and regression problems. We conduct inter- and intra-platform benchmarking of the Xbox 360 and PC, using GPU and CPU implementations on both architectures. Platform benchmarking confirms highly integrated CPU and GPU programming flexibility of the Xbox 360, having the potential to alleviate typical GPGPU decisions of allocating particular functionalities to CPU or GPU.
Keywords :
computer graphic equipment; computer graphics; genetic algorithms; linear programming; regression analysis; Microsoft Xbox 360; classification problems; consumer video game console; graphics processing abilities; graphics processing unit; linear genetic programming; regression problems; Evolutionary computation; Genetic programming;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630825
