Speedup of Fuzzy Logic through Stream Processing on Graphics Processing Units

被引：10
|
作者：
Harvey, Nicholas [1 ]
Luke, Robert [1 ]
Keller, James M. [1 ]
Anderson, Derek [1 ]
机构：
[1] Univ Missouri, Columbia, MO 65211 USA
来源：
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/CEC.2008.4631314
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As the size and operator complexity of a furzy 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.
引用
收藏
页码：3809 / 3815
页数：7
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