Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification
IEEE Transactions on Computers(2021)
摘要
In-memory computing is an emerging computing paradigm enabling deep-learning inference at significantly higher energy-efficiency and reduced latency. The essential idea is mapping the synaptic weights of each layer to one or more in-memory computing (IMC) cores. During inference, these cores perform the associated matrix-vector multiplications in place with O(1) time complexity, obviating the need...
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关键词
Topology,Fabrics,Computer architecture,Network topology,Hardware,Training,Program processors
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