Graphics Processing Units and Genetic Programming: An overview

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{langdon:2011:SC,

• author = "W. B. Langdon",
• title = "Graphics Processing Units and Genetic Programming: An overview",
• journal = "Soft Computing",
• year = "2011",
• pages = "1657--1669",
• volume = "15",
• issue = "8",
• month = aug,
• keywords = "genetic algorithms, genetic programming, CUDA, nVidia, GPGPU, Survey, SIMD parallel interpreter, Reverse Polish Notation, nvcc compiler, GPU, CIGPU, CELL, PlayStation 3, Affymetrix GeneChip, breast cancer, decorin, S-adenosylhomocysteine hydrolase, gzip",
• ISSN = "1432-7643",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_gpu.pdf",
• DOI = "doi:10.1007/s00500-011-0695-2",
• size = "13 pages",
• abstract = "A top end graphics card (GPU) plus a suitable SIMD interpreter, can deliver a several hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU). In particular we survey genetic programming (GP) use with GPU. We give several applications from Bioinformatics and show how the fastest GP is based on an interpreter rather than compilation. Finally using GP to generate GPU CUDA kernel C++ code is sketched.",

}

Genetic Programming entries for William B Langdon

Citations