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JSSC 2024第1期Memory22nmCIM

A Nonvolatile AI-Edge Processor With SLCMLC Hybrid ReRAM Compute-in-Memory Macro

提出一种采用混合模式ReRAM的非易失性AI边缘处理器,解决能效与计算延迟问题。
22nm工艺, 51.4 TOPS/W, 472.7µs唤醒响应时间, 67.2 TOPS/W(8位输入/8位权重/22-24位输出)
非易失性存内计算AI边缘处理器混合模式ReRAM能效优化动态累加
多模式nvCIM引擎控制器(mmCIM-EC)
位输入稀疏与位值感知动态累加(BIS-PVA-DA)
位权重列反转(BWCI)与动态累加感知电流量化(DACQ)
Abstract
On-chip non-volatile compute-in-memory (nvCIM) enables artificial intelligence (AI)-edge processors to perform multiply-and-accumulate (MAC) operations while enabling the non-volatile storage of weight data in power-off mode to enhance energy efficiency. However, the design challenges of nvCIM- based AI-edge processors include: 1) lack of a nvCIM-friendly computing flow; 2) a tradeoff between usage of memory devices versus process variations, computing yield and area overhead; 3) long computing