Thisbookcoversalgorithmicandhardwareimplementationtechniquestoenableembeddeddeeplearning.Theauthorsdescribesynergeticdesignapproachesontheapplication-,algorithmic-,computerarchitecture-,andcircuit-levelthatwillhelpinachievingthegoalofreducingthecomputationalcostofdeeplearningalgorithms.Theimpactofthesetechniquesisdisplayedinfoursiliconprototypesforembeddeddeeplearning.Givesawideoverviewofaseriesofeffectivesolutionsforenergy-efficientneuralnetworksonbatteryconstrainedwearabledevices;Discussestheoptimizationofneuralnetworksforembeddeddeploymentonalllevelsofthedesignhierarchy–applications,algorithms,hardwarearchitectures,andcircuits–supportedbyrealsiliconprototypes;ElaboratesonhowtodesignefficientConvolutionalNeuralNetworkprocessors,exploitingparallelismanddata-reuse,sparseoperations,andlow-precisioncomputations;Supportstheintroducedtheoryanddesignconceptsbyfourrealsiliconprototypes.Thephysicalrealization’simplementationandachievedperformancesarediscussedelaboratelytoillustratedandhighlighttheintroducedcross-layerdesignconcepts.
2023/11/9 17:10:44
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