Accelerating reaction-diffusion simulations with general-purpose graphics processing units.

Vigelius, Matthias; Lane, Aidan; Meyer, Bernd · Bioinformatics · 2011

basic_science · Level V

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Abstract

We present a massively parallel stochastic simulation algorithm (SSA) for reaction-diffusion systems implemented on Graphics Processing Units (GPUs). These are designated chips optimized to process a high number of floating point operations in parallel, rendering them well-suited for a range of scientific high-performance computations. Newer GPU generations provide a high-level programming interface which turns them into General-Purpose Graphics Processing Units (GPGPUs). Our SSA exploits GPGPU architecture to achieve a performance gain of two orders of magnitude over the fastest existing implementations on conventional hardware. The software is freely available at http://www.csse.monash.edu.au/~berndm/inchman/.

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