In-Memory Computing array using 40nm multibit SONOS achieving 100 TOPS/W energy efficiency for Deep Neural Network Edge Inference Accelerators-Reference-Cited by-同舟云学术

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In-Memory Computing array using 40nm multibit SONOS achieving 100 TOPS/W energy efficiency for Deep Neural Network Edge Inference Accelerators

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Memory Workshop (IMW)
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Author:

Agrawal Vineet,Prabhakar V.,Ramkumar K.,Hinh Long,Saha Swatilekha,Samanta Santanu,Kapre Ravindra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9106715/9108108/09108127.pdf?arnumber=9108127

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultralow Power In-Sensor Neuronal Computing with Oscillatory Retinal Neurons for Frequency-Multiplexed, Parallel Machine Vision;ACS Nano;2024-08-14

2. Effect of High-Temperature Bake on RTN Statistics in Floating Gate Flash Memory Arrays;2023 IEEE International Memory Workshop (IMW);2023-05

3. SONOS Embedded Flash IP Using Trap-Depth-Controlled SiN Film Enabling Data Retention more than 10 years at 200°C;2023 IEEE International Memory Workshop (IMW);2023-05

4. Flash: A “Forgotten” Technology in VLSI Design;Frontiers of Quality Electronic Design (QED);2022-09-06

5. Analysis and mitigation of parasitic resistance effects for analog in-memory neural network acceleration;Semiconductor Science and Technology;2021-10-14

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