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STOCHSIMGPU: parallel stochastic simulation for the sytems biology toolbox 2 for matlab

Abstract:

Motivation: The importance of stochasticity in biological systems is becoming increasingly recognized and the computational cost of biologically realistic stochastic simulations urgently requires development of efficient software. We present a new software tool STOCHSIMGPU that exploits graphics processing units (GPUs) for parallel stochastic simulations of biological/chemical reaction systems and show that significant gains in efficiency can be made. It is integrated into MATLAB and works wi...

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Publication date:
2011-01-01
URN:
uuid:e0b8aa41-0fd2-4afa-85e0-ba6e31ba28b1
Local pid:
oai:eprints.maths.ox.ac.uk:1060

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