Publication | Closed Access
VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling
45
Citations
43
References
2022
Year
Unknown Venue
Convolutional Neural NetworkEngineeringMachine LearningAdvanced ComputingMachine Learning ToolComputer ArchitectureData ScienceHigh-performance ArchitectureEmbedded Machine LearningCompilersParallel ComputingAdaptive CompilationMachine Learning ModelComputer EngineeringComputer ScienceDeep LearningNeural Architecture SearchHardware AccelerationEdge ComputingMulti-tenant Dl ServicesParallel ProgrammingDeep Learning Service
Deep learning (DL) models have achieved great success in many application domains. As such, many industrial companies such as Google and Facebook have acknowledged the importance of multi-tenant DL services. Although the multi-tenant service has been studied in conventional workloads, it is not been deeply studied on deep learning service, especially on general-purpose hardware.
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