Understanding the efficient parallelisation of Cellular Automata on CPU and GPGPU hardware
- Gibson, M
- Keedwell, Edward
- Savić, Dragan
Publication date
March 2016
DOI Publisher
Association for Computing Machinery (ACM)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 additional computational power of the GPU
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