Paper Info
Title
FuzzyGPU: A Fuzzy Arithmetic Library for GPU
Abstract
Data are traditionally represented using native format such as integer or floating-point numbers in various flavor. However, some applications rely on more complex representation format. This is the case when uncertainty needs to be apprehended. Fuzzy arithmetic is one of the major tools to address this problem, but the execution time of basic operations such as addition or multiplication makes its usage prohibitive. In this article, thanks to a new representation format and modern GPU characteristics we show that it is possible to greatly reduce the execution time of those operations. These techniques have been implemented in fuzzyGPU, a freely distributed library of common operations over fuzzy number.
Year
DOI
Venue
2014
10.1109/PDP.2014.16
PDP
Keywords
Field
DocType
fuzzy arithmetic library,execution time,native format,fuzzy set theory,representation format,usage prohibitive,floating-point numbers,common operation,graphics processing units,integer numbers,execution time reduction,fuzzy number,floating-point number,fuzzygpu,major tool,basic operation,number theory,complex representation format,new representation format,multiplication operation,uncertainty management,addition operation,fuzzy arithmetic,floating point arithmetic
Arbitrary-precision arithmetic,Floating-point unit,Fuzzy set operations,Computer science,Double-precision floating-point format,Parallel computing,Theoretical computer science,Multiplication,Saturation arithmetic,Fuzzy number,Algebraic operation
Conference
ISSN
Citations 
PageRank 
1066-6192
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
David Defour113118.28
Manuel Marin210.70