Performance model for a cellular automata implementation on a GPU cluster
Albuquerque, Paul; Künzli, Pierre; Meyer, Xavier
2012
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Abstract

In the past few years, GPUs have gained a lot of popularity as they offer an opportunity to accelerate many algorithms. In this paper we present a mono, a multi-GPU and GPU cluster implementation, based on CUDA, of a cellular automata. We derive a performance model and establish its accurateness.

Details

Title Performance model for a cellular automata implementation on a GPU cluster
Author(s) Albuquerque, Paul (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland)
Künzli, Pierre (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland)
Meyer, Xavier (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland)
Editor(s) De Bosschere, Koen
D'Hollander, Erik
Joubert, Gerhard R.
Padua, David
Peters, Frans
Sawyer, Mark
Date 2012-06
Published in Applications, tools and techniques on the road to exascale computing
Publisher Amsterdam, Washington D.C., IOS press
Pagination pp. 191-198
ISBN 978-1-61499-040-6
Collection and number Advances in parallel computing, no. 22
Keywords GPU cluster ; CUDA ; parallel programming ; performance model ; cellular automata
Faculty Ingénierie et Architecture
School HEPIA - Genève
Institute inIT - Institut d'Ingénierie Informatique et des Télécommunications
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