NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node-Reference-Cited by-同舟云学术

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NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node

Published:2024-04 Issue:4 Volume:71 Page:1733-1744
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Lee Junmo¹^ORCID,Lu Anni¹^ORCID,Li Wantong¹^ORCID,Yu Shimeng¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

PRISM and CHIMES

Semiconductor Research Corporation (SRC)/Defense Advanced Research Projects Agency (DARPA) Joint University Microelectronics Program (JUMP) 2.0 Centers

Samsung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/10484988/10443264.pdf?arnumber=10443264

Reference57 articles.

1. Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects

2. RRAM for Compute-in-Memory: From Inference to Training

3. 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications

4. A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs

5. A 5-nm 254-TOPS/W 221-TOPS/mm² Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations

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