An RRAM-Based Computing-in-Memory Architecture and Its Application in Accelerating Transformer Inference-Reference-Cited by-同舟云学术

An RRAM-Based Computing-in-Memory Architecture and Its Application in Accelerating Transformer Inference

Published:2023 Issue: Volume: Page:1-12
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Lu Zhaojun¹^ORCID,Wang Xueyan²^ORCID,Arafin Md Tanvir³^ORCID,Yang Haoxiang⁴,Liu Zhenglin¹^ORCID,Zhang Jiliang⁵,Qu Gang⁶^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. Department of Integrated Circuit Science and Engineering, Beihang University, Beijing, China

3. Department of Cyber Security Engineering, George Mason University, Fairfax, VA, USA

4. Department of Computer Science, Warsaw University of Technology, Warsaw, Poland

5. College of Semiconductors, Hunan University, Changsha, China

6. Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park, MD, USA

Funder

National Natural Science Foundation of China

University of Maryland, Sub Task Order through ARLIS Project through Computing Instruments

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

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