元素:用于深度神经网络训练的基于imc的2.5维加速器的节能Multi-NoP架构

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-12-01 DOI:10.1109/MDAT.2023.3309743
K. Neethu, K. C. S. Shahana, Rekha K. James, John Jose, Sumit K. Mandal
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引用次数: 0

摘要

编者按:在本文中,提出了一种基于内存计算(IMC)的具有多个包上网络(NoP)组件的2.5维系统体系结构。-Mahdi Nikdast,美国科罗拉多州立大学-Miquel Moreto,西班牙巴塞罗那超级计算中心-Masoumeh (Azin) Ebrahimi,瑞典皇家理工学院-Sujay Deb,印度德里IIIT
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ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training
Editor’s notes: In this article, an architecture for in-memory computing (IMC)-based 2.5-D systems with multiple Network-on-Package (NoP) components is proposed. —Mahdi Nikdast, Colorado State University, USA —Miquel Moreto, Barcelona Supercomputing Center, Spain —Masoumeh (Azin) Ebrahimi, KTH Royal Institute of Technology, Sweden —Sujay Deb, IIIT Delhi, India
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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