A Fully Digital SRAM-Based Four-Layer In-Memory Computing Unit Achieving Multiplication Operations and Results Store
Author:
Affiliation:
1. School of Integrated Circuits, Anhui University (AHU), Hefei, China
2. School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
State Key Program of the National Natural Science Foundation of China
National Key Research and Development Program of China
Joint Funds of the National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Link
http://xplorestaging.ieee.org/ielx7/92/10129243/10109679.pdf?arnumber=10109679
Reference37 articles.
1. An SRAM-Based Multibit In-Memory Matrix-Vector Multiplier With a Precision That Scales Linearly in Area, Time, and Power
2. A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training
3. IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array
4. An 89 TOPS/W and 16.3 TOPS/mm2 all-digital SRAM-based full-precision compute-in memory macro in 22 nm for machine-learning edge applications;chih;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2021
5. A 4-Kb 1-to-8-bit Configurable 6T SRAM-Based Computation-in-Memory Unit-Macro for CNN-Based AI Edge Processors
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