Bioinformatics · 2010 · 41 citations · 19 references
ComputingComputer ScienceHigh-performance ComputingComputer GraphicsParallel ComputingScientific ComputingComputational ModelingData ParallelismGraphics Processing Unit ArchitectureGraphics Processing Unit ComputingGraphics Processing UnitsHardware AccelerationGpgpu ComputingGpu Parallel AlgorithmsReaction-diffusion EquationsReaction-diffusion PhenomenaReaction-diffusion Stochastic ModelsScientific Computing On GpusStochastic Reaction-diffusion ModelsStochastic Simulation
SUMMARY: 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. AVAILABILITY: The software is freely available at http://www.csse.monash.edu.au/~berndm/inchman/.
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