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GPU-based Acceleration of Deep Convolutional Neural Networks on Mobile Platforms

GPU-based Acceleration of Deep Convolutional Neural Networks on Mobile Platforms

ID：40717215

大小：1.21 MB

页数：7页

时间：2019-08-06

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1、GPU-basedAccelerationofDeepConvolutionalNeuralNetworksonMobilePlatformsSeyyedSalarLatifiOskoueiHosseinGolestaniSharifUniversityofTechnologySharifUniversityofTechnologysalarlatifi@ee.sharif.eduhosseingolestani@ee.sharif.eduMohamadKachueeMatinHashemiSharifUniversityofTechnologySharifUniversit

2、yofTechnologykachueemohamad@ee.sharif.edumatin@sharif.eduHodaMohammadzadeSoheilGhiasiSharifUniversityofTechnologyUniversityofCalifornia,Davishoda@sharif.edughiasi@ucdavis.eduAbstractparallelprocessingorhardwareacceleration.Onserveranddesktopplatforms,therearemanylibrariessuchasCaffeMobilea

3、pplicationsrunningonwearabledevicesand[3],Torch[4],Theano[5],cuDNN[6]andcuda-convnetsmartphonescangreatlybenefitfromaccurateandscalable[7]whichemployGPUcomputingandSIMDprocessorex-deepCNN-basedmachinelearningalgorithms.Whilemo-tensionsforaccelerationofdeepCNNcomputations.bileCPUperformanced

4、oesnotmatchtheintensivecom-Onmobileplatforms(e.g.,wearabledevicesandsmart-putationalrequirementofdeepCNNs,theembeddedGPUphones),tothebestofourknowledge,theexistingCNNli-whichalreadyexistsinmanymobileplatformscanbelever-brariesarelimitedtotheprocessingpowerofmobileCPUsagedforaccelerationofC

5、NNcomputationsonthelocalde-[8].Asaresult,executionoflargedeepCNNsonmobileviceandwithouttheuseofacloudservice.Wepresentaplatformsseemscurrentlyunfeasibleintermsofbothcom-GPU-basedaccelerateddeepCNNengineformobileplat-putationalperformanceandpowerconsumption.Toaddressformswithupto60Xspeedup1

6、.thisissue,severalgroupshaveproposedvarioushardware-basedCNNaccelerators[9,10].Suchhardware-basedac-celerationenginesarenotpracticallydeployedinexisting1.Introductionmobilesystemsduetohighproductioncostsofhardwareandlargechiparearequirements.Moreimportantly,afixedManyapplicationssuchasimage

7、classification[1],hardwareacceleratorisnormallylimitedtoexecutionofspeechrecognition,andmovementactivityrecognition[2]onlyasetofpredefinedCNNs.requireutilizationofmachinelearningalgorithmsonmo-arXiv:1511.07376v1[cs.DC]23Nov2015Wepresentanovelsoftware-onlyacceler

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