Built-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design

A Self-Test, Self-Diagnosis, and Self-Repair-Based Approach
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Springer

Paru le : 2023-03-01

With the end of Dennard scaling and Moore’s law, IC chips, especially large-scale ones, now face more reliability challenges, and reliability has become one of the mainstay merits of VLSI designs. In this context, this book presents a built-in on-chip fault-tolerant computing paradigm that seeks to ...
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Éditeur

Collection
n.c

Parution
2023-03-01

Pages
304 pages

EAN papier
9789811985508

Auteur(s) du livre


Dr. Xiaowei Li is a Professor and Deputy (Executive) Director at State Key Laboratory of Computer Architecture, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He received his B.Eng. degree and M.Eng. degree from Hefei University of Technology in 1985 and 1988, and his Ph.D. from ICT, CAS in 1991. He joined Peking University as a post-doc in 1991. From 1993 to 2000, he was an associate professor with the Department of Computer Science at Peking University. From 1997 to 1999, he was a Visiting Research Fellow at The University of Hong Kong and at Nara Institute of Science and Technology, Japan. His research interests include VLSI testing, fault-tolerant computing, multi-core processor design & verification, and hardware security. He has led more than 20 national research projects and helped to develop many systems and software tools in these areas. He holds more than 90 patents and more than 50 software copyrights. He has co-published over 400 peer-reviewed journal and conference papers. He has received many honors and awards, including China National Technology Innovation Award (2012), and China National Science and Technology Progress Award (2015). Dr. Li served on a number of program committees of IEEE/ACM-sponsored conferences and symposia including DAC, ICCAD and DATE, and is currently Vice-Chair of TTTC of the IEEE Computer Society. He also serves as Associate Editors of IEEE TCAD, IEEE TCAS II, and ACM TODAES. Dr. Guihai Yan is a professor at the State Key Laboratory of Processors (SKLP), Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He received his B.Eng. degree from Peking University in 2005 and his Ph.D. from ICT, CAS in 2011, respectively. His primary research interest is in computer architecture with an emphasis on domain-specific architectures for machine learning and financial computing. He has published more than 40 peer-reviewed papers in leading conference proceedings andjournals including ISCA, HPCA, TC and TVLSI. His research work on fault-tolerant VLSI design has been deployed in countless projects, including 973 high-throughput computing systems and self-repair computer systems. Dr. Cheng Liu is an associate professor at the State Key Laboratory of Processors (SKLP), Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He received his B.Eng. degree and M.Eng. degree from Harbin Institute of Technology in 2007 and 2009, and his Ph.D. from The University of Hong Kong in 2016. He also worked as a research fellow at National University of Singapore from 2016 to 2018. His research interests include fault-tolerant computing, reconfigurable computing, and customized computing particularly for deep learning and large graph processing. He has published more than 50 peer-reviewed papers in leading conference proceedings and journals for computer architecture and EDA. 

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EAN PDF
9789811985515
Prix
210,99 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
12237 Ko
EAN EPUB
9789811985515
Prix
210,99 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
27197 Ko

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