Rapport (Rapport De Recherche) Année : 2013

FuzzyGPU: a fuzzy arithmetic library for GPU

Résumé

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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Est décrite par lirmm-01206375 Objet présenté à une conférence 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⟩

Dates et versions

hal-00856617 , version 1 (02-09-2013)
hal-00856617 , version 2 (02-12-2013)

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  • HAL Id : hal-00856617 , version 2

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David Defour, Manuel Marin. FuzzyGPU: a fuzzy arithmetic library for GPU. [Research Report] LIRMM. 2013. ⟨hal-00856617v2⟩
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