Performance model for a cellular automata implementation on a GPU cluster

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)

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.


Keywords:
Faculty:
Ingénierie et Architecture
School:
HEPIA - Genève
Institute:
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Publisher:
Amsterdam, Washington D.C., IOS press
Date:
2012-06
Amsterdam, Washington D.C.
IOS press
Pagination:
pp. 191-198
Published in:
Applications, tools and techniques on the road to exascale computing
Series Statement:
Advances in parallel computing, no. 22
Author of the book:
De Bosschere, Koen
D'Hollander, Erik
Joubert, Gerhard R.
Padua, David
Peters, Frans
Sawyer, Mark
ISBN:
978-1-61499-040-6
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-09-22, last modified 2020-10-27

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