NVCC cuda compiler wraper 1.0

This function NVCC is a wraper for the NVIDIA Cuda compiler NVCC.exe in combination with a Visual Studio compiler. After this Cuda files can be compiled into kernels If you call the code the first time, or with "nvcc -config": 1) It will try to locate the "The NVIDIA GPU Computing Toolkit", which can be downloaded from www.nvidia.com/object/cuda_get.html Typical Location : C:Program FilesNVIDIA GPU Computing ToolkitCUDAv3.2bin 2) It will try to locate the visual studio compiler Typical Location : C:Program Files (x86)Microsoft Visual Studio 9.0VCbin 3) It creates a file nvccbat.bat with the compiler information. After this configuration procedure, you can compile files with: nvcc(filename); or nvcc(options,filename) filename : A string with the filename, for example 'example.cu' options : NVCC Compiler options for example, nvcc(option1, option2, option3,filename) For help on NVCC config options type, "nvcc --help" Note! If the NVCC fails to locate the compiler you can try to write your own "nvccbat.bat" file in a text-editor, for example: echo off set PATH=C:Program Files (x86)Microsoft Visual Studio 9.0VCbin;PATH set PATH=C:Program FilesNVIDIA GPU Computing ToolkitCUDAv3.2bin;PATH call vcvars32.bat nvcc 1 2 3 4 5 6 7 8 9 1 Example, Configuration Locate Cuda and VS compiler nvcc -config Show the NVCC compiler options nvcc --help Test some input options nvcc --dryrun -ptx example.cu 2 Example, Locate Cuda and VS compiler nvcc -config Compile the code nvcc('example.cu'); It the same as : nvcc -ptx example.cu Make the kernel Kernel = parallel.gpu.CUDAKernel('example.ptx', 'example.cu'); We want to execute this kernel 100 times Kernel.ThreadBlockSize=100; We make an array with 100 random files Data=rand(100, 1, 'single'); DataCuda= gpuArray(Data); We will add the value 1 OneCuda = parallel.gpu.GPUArray.ones(1,1); Execute the kernel DataOneCuda = feval(Kernel, DataCuda, OneCuda); Get the data back DataOne=gather(DataOneCuda); Show the result figure, hold on; plot(Data,'b'); plot(DataOne,'r');

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Compile,  Configuration,  Dryrun,  Input,  Kernel,  Locate,  Nvccexamplecu,  Vcvars Bat
Users rating:	0/10