Hirotoshi Tagata

Leak-CIM: A PVT-Robust and Energy-Efficient SRAM Computing-in-Memory Macro Exploiting Transistor Leakage

The binarized neural networks (BNNs) significantly reduce arithmetic and storage costs for edge inference, but repeated bitwise accumulation and memory access still limit system energy efficiency. This article presents leak-computing-in-memory (CIM), a <inline-formula> <tex-math notation="LaTeX">$256\times 64$ </tex-ma...