CUDALink allows the Wolfram Language to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost performance in a number of areas, such as linear algebra, financial simulation, and image processing. CUDALink also integrates CUDA with existing Wolfram Language development tools, allowing a high degree of automation and control.

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References in zbMATH (referenced in 1 article )

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  1. Iida, Masanari; Niki, Naoto: Lifespan distribution of SIMD groups on a GPU engaged in a class of probabilistic computation (2014)