SRAM-Based In-Memory Computing Macro Featuring Voltage-Mode Accumulator and Row-by-Row ADC for Processing Neural Networks
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
2. Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/8919/9782465/09726798.pdf?arnumber=9726798
Reference38 articles.
1. TD-SRAM: Time-Domain-Based In-Memory Computing Macro for Binary Neural Networks
2. The StrongARM Latch [A Circuit for All Seasons]
3. BRein Memory: A Single-Chip Binary/Ternary Reconfigurable in-Memory Deep Neural Network Accelerator Achieving 1.4 TOPS at 0.6 W
4. A 42 pJ/decision 3.12 TOPS/W robust in-memory machine learning classifier with on-chip training;gonugondla;IEEE ISSCC Dig Tech Papers,2018
5. A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors
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