A Nonvolatile Al-Edge Processor with 4MB SLC-MLC Hybrid-Mode ReRAM Compute-in-Memory Macro and 51.4-251TOPS/W
Author:
Affiliation:
1. National Tsing Hua University,Hsinchu,Taiwan
2. TSMC Corporate Research,Hsinchu,Taiwan
3. TSMC,Hsinchu,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10067248/10067251/10067610.pdf?arnumber=10067610
Reference4 articles.
1. TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge
2. A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for loT End-Nodes with 1.7?W Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode;rossi;ISSCC,2021
3. CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference
4. A 40nm 60.64TOPS/W ECC-Capable Compute-in-Memory/Digital 2.25MB/768KB RRAM/SRAM System with Embedded Cortex M3 Microprocessor for Edge Recommendation Systems
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