E-ReCON presents a precision-configurable sparse nvCIM macro with 3T1R ReRAM bitcells and interleaved 10T/28T adder tree achieving up to 419 TOPS/W for both conventional and spiking neural edge inference.
Reconfigurable 2T2R ReRAM architecture for versatile data storage and computing in- memory,
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E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference
E-ReCON presents a precision-configurable sparse nvCIM macro with 3T1R ReRAM bitcells and interleaved 10T/28T adder tree achieving up to 419 TOPS/W for both conventional and spiking neural edge inference.