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ID:34316671
大小:960.72 KB
页数:15页
时间:2019-03-04
《CUDA_Getting_Started_Windows.pdf》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、NVIDIACUDAGETTINGSTARTEDGUIDEFORMICROSOFTWINDOWSDU-05349-001_v04
2、April2012InstallationandVerificationonWindowsDOCUMENTCHANGEHISTORYDU-05349-001_v04VersionDateAuthorsDescriptionofChange01April20,2010CW,TSRelease02August19,2010CWUpdatedforCUDAToolkit3.203March3,2011CWUpda
3、tedforCUDAToolkit4.004April6,2012CW,RCAddedinformationonVisualStudio2010buildcustomizationsNVIDIACUDAGettingStartedGuideforMicrosoftWindowsDU-05349-001_v04
4、iiTABLEOFCONTENTSIntroduction................................................................................1Syst
5、emRequirements...........................................................................2AboutThisDocument...........................................................................2InstallingCUDADevelopmentTools................................................3VerifyYo
6、uHaveaCUDA-EnabledSystem....................................................3DownloadtheCUDASoftware.................................................................4InstalltheCUDASoftware.....................................................................5VerifytheIns
7、tallation...........................................................................6CompilingtheExamples.....................................................................6CompilingCUDAPrograms.............................................................8CompilingSam
8、pleProjects.....................................................................8SampleProjects.................................................................................9BuildCustomizationsforExistingProjects..................................................10Add
9、itionalConsiderations............................................................11NVIDIACUDAGettingStartedGuideforMicrosoftWindowsDU-05349-001_v04
10、iiiINTRODUCTIONNVIDIA®CUDATMisageneralpurposeparallelcomputingarchitectureintroducedbyNVIDIA.ItincludestheCUDAInstructionS
11、etArchitecture(ISA)andtheparallelcomputeengineintheGPU.ToprogramtotheCUDAarchitecture,developerscanuseC,oneoft
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