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Table of contents (8 chapters)
About this book
Authors and Affiliations
About the authors
Arun Subramaniyan received his B.E (Hons.) in Electrical and Electronics from the Birla Institute of Technology and Science (BITS-Pilani), India in 2015. He is currently a Ph.D. student at the University of Michigan, advised by Prof. Reetuparna Das. His dissertation research focuses on developing efficient algorithms and customized computing systems for precision health. He is also interested in in-memory computing architectures and hardware reliability. His work has been recognized by UM’s Precision Health Scholars Award, a Rackham International Students Fellowship, an IEEE Micro Top Picks Award, and a Best Paper Award in CODESCISSS.
Reetuparna Das received her Ph.D. in Computer Science and Engineering from the Pennsylvania State University, University Park, PA, in 2010. She was a Research Scientist with the Intel Labs, Santa Clara, CA, and the Researcher-In-Residence with the Center for Future Architectures Research, Ann Arbor, MI. She is currently an Associate Professor with the University of Michigan, Ann Arbor. Some of her recent projects include in-memory architectures, custom computing for precision health and AI, fine-grain heterogeneous core architectures for mobile systems, and low-power scalable interconnects for kilo-core processors. She has authored over 45 articles and holds 7 patents. Prof. Das received two IEEE top picks awards, the NSF CAREER Award, the CRA-W’s Borg Early Career Award, the Intel Outstanding Researcher Award, and the Sloan Foundation Fellowship. She has been inducted into IEEE/ACM MI CRO and ISCA Hall of Fame. She served on over 30 technical program committees and as the Program Co-Chair for MICRO-52.
Bibliographic Information
Book Title: In-/Near-Memory Computing
Authors: Daichi Fujiki, Xiaowei Wang, Arun Subramaniyan, Reetuparna Das
Series Title: Synthesis Lectures on Computer Architecture
DOI: https://doi.org/10.1007/978-3-031-01772-8
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 11
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-031-00644-9Published: 12 August 2021
eBook ISBN: 978-3-031-01772-8Published: 31 May 2022
Series ISSN: 1935-3235
Series E-ISSN: 1935-3243
Edition Number: 1
Number of Pages: XV, 124