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.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01206375
Contributor : David Defour <>
Submitted on : Monday, September 28, 2015 - 9:39:03 PM
Last modification on : Thursday, May 24, 2018 - 3:59:23 PM

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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⟩

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