Speedup of fuzzy logic through stream processing on Graphics Processing Units
Nicholas J. A. Harvey, Robert G. Luke, James M. Keller, Derek Martin Anderson · 2008
As the size and operator complexity of a fuzzy logic system increases, computational tractability becomes a problem. There is a significant amount of parallelism in both the creation of the fuzzy rule base and in fuzzy inference. Traditional processors (CPUs) cannot take full advantage of this natural parallelism graphics processing units (GPUs) speed up rule construction and inference by utilizing up to 128 processing units operating in parallel. Normally, these processors are used to perform high speed graphics calculations for video games, movies, and other areas of intense graphical work. In this paper, a method is discussed for speeding up fuzzy logic by structuring it into a format such that it resembles the standard rendering procedure for a graphics pipeline based on rasterization.