Automated Optical Accelerator Search: Expediting Green and Ubiquitous DNN-Powered Intelligence

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Mingfeng Lan, Mengquan Li, Jie Xiong, Weichen Liu, Chubo Liu, Kuan-Ching Li
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引用次数: 0

Abstract

Editor’s notes: In this article, the authors develop a systematized framework to achieve automated optical accelerator architecture search. —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
自动光加速器搜索:加速绿色和无处不在的dnn驱动的智能
编者按:在本文中,作者开发了一个系统化的框架来实现自动光学加速器架构搜索。-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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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