Presentation
Late Breaking Results: PVC-RAM:Process Variation Aware Charge Domain In-Memory Computing 6T-SRAM for DNNs
DescriptionThis work introduces PVC-RAM, a process variation aware in-memory computing (IMC) static random-access memory (SRAM) macro designed for efficient convolutional neural network (CNN) inference. PVC-RAM is a charge-domain based compact IMC and is the first fully analog IMC for 4b-weights/4b-inputs MAC operation for deep neural networks in 6T-SRAM to the best of our knowledge. Further, PVC-RAM fully computes 4-bit MAC in the analog domain and requires fewer invocations of the ADCs. Implemented in 28nm technology, PVC-RAM achieves a bitwise throughput of 6964.48 TOPS, which is 1.5X higher than the SOTA, and a bitwise energy efficiency of 75.12 TOPS/W, which is 1.3Xhigher than the SOTA.
Event Type
Late Breaking Results Poster
TimeWednesday, July 12th6:00pm - 7:00pm PDT
LocationLevel 2 Lobby
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