This parallel programming model is based on defining, by one side, sets of input and output data, called streams, and by the other side, intensive computing operations, called kernel functions, to be applied sequentially on the streams
Published in Chapter:
IA Algorithm Acceleration Using GPUs
Antonio Seoane (University of A Coruña, Spain) and Alberto Jaspe (University of A Coruña, Spain)
Copyright: © 2009
|Pages: 6
DOI: 10.4018/978-1-59904-849-9.ch129
Abstract
Graphics Processing Units (GPUs) have been evolving very fast, turning into high performance programmable processors. Though GPUs have been designed to compute graphics algorithms, their power and flexibility makes them a very attractive platform for generalpurpose computing. In the last years they have been used to accelerate calculations in physics, computer vision, artificial intelligence, database operations, etc. (Owens, 2007). In this paper an approach to general purpose computing with GPUs is made, followed by a description of artificial intelligence algorithms based on Artificial Neural Networks (ANN) and Evolutionary Computation (EC) accelerated using GPU.