Compute-EfficientDeepLearning:AlgorithmicTrendsandOpportunitiesBRIANR.BARTOLDSON∗,LawrenceLivermoreNationalLaboratory,USABHAVYAKAILKHURA∗,LawrenceLivermoreNationalLaboratory,USADAVISBLALOCK∗,MosaicML,USAAlthoughdeeplearninghasmadegreatprogressinrecentyears,theexplodingeconomicandenvironmentalcostsoftrainingneuralnetworksarebecomingunsustainable.Toaddressthisproblem,therehasbeenagreatdealofresearchonalgorithmically-efficientdeeplearning,whichseekstoreducetrainingcostsnotatthehardwareorimplementationlevel,butthroughchangesinthesemanticsofthetrainingprogram.Inthispaper,wepresentastructuredandcomprehensiveoverviewoftheresearchinthisfield.First,weformalizet...
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