An Energy-Efficient and High Throughput in-Memory Computing Bit-Cell With Excellent Robustness Under Process Variations for Binary Neural Network

An Energy-Efficient and High Throughput in-Memory Computing Bit-Cell With Excellent Robustness Under Process Variations for Binary Neural Network

In-memory computing (IMC) is a promising approach for energy cost reduction due to data movement between memory and processor for running data-intensive deep learning applications on the computing systems. Together with Binary Neural Network (BNN), IMC provides a viable solution for running deep neu...

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Bibliographic Details
Main Authors: Gobinda Saha, Zhewei Jiang, Sanjay Parihar, Cao Xi, Jack Higman, Muhammed Ahosan Ul Karim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
In-memory computing
SRAM
binary neural network
nonideality
process variation
Online Access:https://ieeexplore.ieee.org/document/9091590/

Internet

https://ieeexplore.ieee.org/document/9091590/

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