Understanding the efficient parallelisation of Cellular Automata on CPU and GPGPU hardware
Gibson, M; Keedwell, Edward; Savić, Dragan
Date: 10 July 2013
Conference paper
Publisher
Association for Computing Machinery (ACM)
Publisher DOI
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Abstract
Cellular automata, represented by a discrete set of elements are
ideal candidates for parallelisation, particularly on graphics cards
using GPGPU technology. This paper shows that the speedups of
50 times over CPU are possible but that the hardware is only
partially responsible and the memory model is vital to exploiting
the ...
Cellular automata, represented by a discrete set of elements are
ideal candidates for parallelisation, particularly on graphics cards
using GPGPU technology. This paper shows that the speedups of
50 times over CPU are possible but that the hardware is only
partially responsible and the memory model is vital to exploiting
the additional computational power of the GPU.
Computer Science
Faculty of Environment, Science and Economy
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