gpu architecture overview

gpu architecture overview

ID:15372742

大小:1.30 MB

页数:22页

时间:2018-08-02

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2、Complex,difficulttobuildandverify–Takessubstantialfractionofdie–Scalespoorly•Payformaxthroughput,sustainaveragethroughput•Quadraticdependencychecking–Controlhardwaredoesn’tdoanymath!•IntelCoreDuo:48GFLOPS,~10GB/s•NVIDIAG80:330GFLOPS,80+GB/s3AAMMDD““DDeereerhohounundd”

3、”((KK88L)L)chip-architect.com4WWhy?hy?[Techn[TechnoolologygyReasoReasonns]s]•Industrymovingfrom“instructionspersecond”to“instructionsperwatt”–“Powerwall”nowall-important–Traditionalµproctechniquesarenotpower-efficient•Wecancontinuetoputmoretransistorsonachip…–…butweca

4、n’tscaletheirvoltagelikeweusedto…–…andwecan’tclockthemasfast…5GGooPPararallelallel•Timeofarchitecturalinnovation–GPUsletusexploreusinghundredsofprocessorsnow,not10yearsfromnow•MajorCPUvendorssupportingmulticore•Interestingeneral-purposeprogrammabilityonGPUs•Universiti

5、esmustteachthinkinginparallelWWhathat’’ssDiDifferfferenenttaboaboututttheheGGPPU?U?•Thefutureofthedesktopisparallel–Wejustdon’tknowwhatkindofparallel•GPUsandmulticorearedifferent–Multicore:Coarse,heavyweightthreads,betterperformanceperthread–GPUs:Fine,lightweightthrea

6、ds,single-threadperformanceispoor•AcasefortheGPU–Interactionwiththeworldisvisual–GPUshaveawell-establishedprogrammingmodel–MarketforGPUsis500M+total/year7TheTheRenRenderderiinnggPPiipelipelinneeApplicationCompute3DgeometryMakecallstographicsAPITransformgeometryfrom3Dt

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