single-precision

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1、MATLAB®Plug-inforCUDAMATLABplug-inforCUDAThisMATLABplug-inforCUDAprovides:accelerationofstandardMATLAB2DFFTsandCUDA/MEX exampleplug-inandbuildenvironmentusingChrisBretherton'sFourierspectralsimulationof2DfluidflowMATLABscriptsfromhiscoursematerialattheUniversityofWashington.

2、WhenMATLABmakes2DFFTcallsofanysize,theNVIDIAplug-ininterceptsthemandhandlesthemwithaMEXfilethatin-turnutilizesanoptimizedCUDAFFTimplementationontheGPU.ThisistransparenttoMATLABusers.Note:thiscurrentimplementationusesasingle-precision2-FFTontheNVIDIAhardware,sotheresultsareno

3、tin64-bitprecisionthatthenativeMATLABimplementationuseswithouttheNVIDIAplug-in.CanberunwithandwithoutCUDAacceleration.Timetoruntheexampleshowsa14Xspeedup(from216secondsto15secondsusingCUDAviatheMEXfileinterface).TheMEXfileexampleandbuildenvironmentusesanFS_2Dflowexamplebutth

4、emethodisillustrativeonhowtowriteacustomCUDAinterfaceviaaMATLABMEXfileinterfaceforallCUDAlibraries.[Download]MathWorksMATLAB®Plug-inforLinux[Download]MathWorksMATLAB®Plug-inforWindows[Download]Whitepaper:AcceleratingMathWorksMATLAB®withCUDA PreviousVersions[Download]CUDA1.0P

5、lug-inforLinux[Download]CUDA1.0Plug-inforWindowsFortranInteroperabilityFortran[Download]FORTRANusingpinnedmemorycallingCUBLAS(Fortran_Cuda_Blas.tgz)[Download]FORTRANinterfacetoCUDAkernel(Fortran_Cuda.tgz)DownloadsForCUDA1.1development,pleasedownloadandinstallanewDriver,Toolk

6、itandSDKfromthelinksbelow.CUDA1.1CompleteInstallPackagesIncludingDocumentationTheCUDASDKindividualsamplepackagesareavailablehere.Linux[Downloadx86,x86-64]CUDAToolkitversion1.1forFedora7[Downloadx86,x86-64]CUDAToolkitversion1.1forRedhatEnterpriseLinux3.x[Downloadx86,x86-64]CU

7、DAToolkitversion1.1forRedhatEnterpriseLinux4.x[Downloadx86,x86-64]CUDAToolkitversion1.1forRedhatEnterpriseLinux5.x[Downloadx86,x86-64]CUDAToolkitversion1.1forSUSELinuxEnterpriseDesktop10-SP1[Downloadx86,x86-64]CUDAToolkitversion1.1forOpenSUSE10.1[Downloadx86,x86-64]CUDAToolk

8、itversion1.1forOpenSUSE10.2[Downloadx86,x86-64]CUDAToolkitversion1.1forUbun