CUDA_4.0_Readiness_Tech_Brief

CUDA_4.0_Readiness_Tech_Brief

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时间:2019-07-18

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1、CUDATOOLKIT4.0READINESSFORCUDAAPPLICATIONSMarch3,2011TechnicalBriefTECHNICALBRIEFINTRODUCTIONInNVIDIA®CUDATMToolkitversion4.0,amajoremphasishasbeenplacedonimprovingtheprogrammabilityofmulti-threadedandmulti-GPUapplicationsandonimprovingtheeaseofportingexistingcodetoCUDAC/C++.Thisdocumentdescri

2、besthekeyAPIchangesandimprovementsthathavebeenmadetowardthatend,particularlywheretheyhavethepotentialtoimpactexistingapplications.ThisdocumentalsohighlightsafewoftheimprovementsthathavebeenmadetothelibrariesbundledwiththeCUDAToolkit.Foracompletelistingofnewfeatures,pleaserefertotheCUDAToolkitR

3、eleaseNotes;forcompletedocumentationofCUDAAPIs,pleaserefertotheCUDAToolkitReferenceManual,theCUDACProgrammingGuide,andtheCUDAlibrarydocumentation.CUDATOOLKIT4.0READINESSFORCUDAAPPLICATIONS2TECHNICALBRIEFMULTI-GPUPROGRAMMINGInCUDAToolkit3.2andearlier,thereweretwobasicapproachesavailabletoexecut

4、eCUDAkernelsonmultipleGPUs(CUDA“devices”)concurrentlyfromasinglehostapplication:Useonehostthreadperdevice,sinceanygivenhostthreadcancallcudaSetDevice()atmostonetime.Usethepush/popcontextfunctionsprovidedbytheCUDADriverAPI.ForapplicationsthatdonotrequiretightcouplingofthevariousCUDAdeviceswit

5、hinasystem(e.g.,whenthedevicesareprocessingindependentdatasetswithlittleneedtocommunicateorsynchronizewitheachother),theseapproacheswereoftensufficient.However,forapplicationsthatneedatightercouplingoftheexecutionofworkacrossdevices,orwheretheuseofmultiplehostthreadsisotherwiseinconvenient,itw

6、ouldsometimesbebetterifasinglehostthreadcouldeasilylaunchworkontoanydevicesitneeded.CUDARuntimeAPITheCUDARuntimenowprovidesanativemeanstoaccomplishthis:ahostthreadcansimplycallcudaSetDevice()atanytime(ratherthanjustonceatthebeginningoftheprogram)tochangethecurrentlyactivedevice.Thishasthefollo

7、wingconsequences:Kernellauncheswillbeexecutedonthecurrentlyselecteddevice.Memoryallocationswillbemadeonthecurrentlyselecteddevice.Streamsandeventscreatedwillbeassociatedwiththecurrentlyselecteddevice.1Forexample:cudaSetDevice(0);//st

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