Skip to Main content Skip to Navigation
Conference papers

FuzzyGPU : a fuzzy arithmetic library for GPU

Manuel Marin 1 David Defour 1 
1 DALI - Digits, Architectures et Logiciels Informatiques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, UPVD - Université de Perpignan Via Domitia
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [24 references]  Display  Hide  Download
Contributor : David Defour Connect in order to contact the contributor
Submitted on : Friday, December 20, 2019 - 12:59:52 PM
Last modification on : Friday, August 5, 2022 - 2:56:33 PM
Long-term archiving on: : Saturday, March 21, 2020 - 7:11:07 PM


Rapport de recherce.pdf
Files produced by the author(s)





Manuel Marin, David Defour. FuzzyGPU : a fuzzy arithmetic library for GPU. PDP: Parallel, Distributed and Network-Based Processing, Feb 2014, Torino, Italy. pp.624-631, ⟨10.1109/PDP.2014.16⟩. ⟨lirmm-01206375⟩



Record views


Files downloads