GPU Programming for Mathematical and Scientific Computing
نویسندگان
چکیده
Graphical processing units used for mathematical and scientific computing are known as general purpose graphical processing units (GPGPUs). This paper is an introduction to the most popular GPGPU technology, NVIDIA's Compute Unified Device Architecture (CUDA). We approach CUDA from the perspective of a software developer, discussing the structure and organization of programs to explain the function of the GPU. We propose a potential application of GPGPU programming, the parallel analysis of a Hidden Markov Model, and discuss arithmetic error on the graphical processing unit. GPU Programming for Mathematical and Scientific Computing
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تاریخ انتشار 2010