文件名称:MATLAB-CUDA
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MATLAB平台下的CUDA加速库。运用该库可避免在MEX函数中来回拷贝GPU数据,提高MATLAB运行速率。附件给出一个简单的矩阵乘法的示例程序,该程序在GTX TITAN下运行效率比intel i7 3930k提高了10倍。-CUDA MATLAB platform acceleration libraries. Avoid the use of the library can be copied back and forth GPU MEX function data, improve MATLAB run rate. Annex gives an example of a simple matrix multiplication program that runs under the GTX TITAN 10 times more efficient than the intel i7 3930k.
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下载文件列表
MatrixMul demo/
MatrixMul demo/cuda 5.0/
MatrixMul demo/cuda 5.0/Cfunc.h
MatrixMul demo/cuda 5.0/demo.m
MatrixMul demo/cuda 5.0/EnD2H.mexw32
MatrixMul demo/cuda 5.0/EnDestroy.mexw32
MatrixMul demo/cuda 5.0/EnFree.mexw32
MatrixMul demo/cuda 5.0/EnH2D.mexw32
MatrixMul demo/cuda 5.0/EnInitial.mexw32
MatrixMul demo/cuda 5.0/EnsunDll.dll
MatrixMul demo/cuda 5.0/EnsunMatrixMul.cu
MatrixMul demo/cuda 5.0/EnsunMatrixMul.mexw32
MatrixMul demo/Ensun Kernel Libruary(simple version).doc
MatrixMul demo/readme.txt
MatrixMul demo/cuda 5.0/
MatrixMul demo/cuda 5.0/Cfunc.h
MatrixMul demo/cuda 5.0/demo.m
MatrixMul demo/cuda 5.0/EnD2H.mexw32
MatrixMul demo/cuda 5.0/EnDestroy.mexw32
MatrixMul demo/cuda 5.0/EnFree.mexw32
MatrixMul demo/cuda 5.0/EnH2D.mexw32
MatrixMul demo/cuda 5.0/EnInitial.mexw32
MatrixMul demo/cuda 5.0/EnsunDll.dll
MatrixMul demo/cuda 5.0/EnsunMatrixMul.cu
MatrixMul demo/cuda 5.0/EnsunMatrixMul.mexw32
MatrixMul demo/Ensun Kernel Libruary(simple version).doc
MatrixMul demo/readme.txt
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