A 2.9–33.0 TOPS/W Reconfigurable 1-D/2-D Compute-Near-Memory Inference Accelerator in 10-nm FinFET CMOS

A 10-nm compute-near-memory (CNM) accelerator augments SRAM with multiply accumulate (MAC) units to reduce interconnect energy and achieve 2.9 8b-TOPS/W for matrix–vector computation. The CNM provides high memory bandwidth by accessing SRAM subarrays to enable low-latency, real-time inference in fully connected and recurrent neural networks with small mini-batch sizes. For workloads with greater a...