SwapLess reduces mean inference latency by up to 63.8% single-tenant and 77.4% multi-tenant on Edge TPUs by online adjustment of model partition points and CPU allocation using a queueing model that accounts for swapping costs.
RESPECT: Reinforcement Learning Based Edge Schedul- ing on Pipelined Coral Edge TPUs
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Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
SwapLess reduces mean inference latency by up to 63.8% single-tenant and 77.4% multi-tenant on Edge TPUs by online adjustment of model partition points and CPU allocation using a queueing model that accounts for swapping costs.