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Adaptive Digital Circuits for Power-Performance Range beyond Wide Voltage Scaling

From the Clock Path to the Data Path

Sprache EnglischEnglisch
Buch Hardcover
Buch Adaptive Digital Circuits for Power-Performance Range beyond Wide Voltage Scaling Saurabh Jain
Libristo-Code: 25351971
Verlag Springer Nature Switzerland AG, Februar 2020
Saurabh Jain (M'17) received the bachelor's and master's degrees from Indian Institute of Technology... Vollständige Beschreibung
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Saurabh Jain (M'17) received the bachelor's and master's degrees from Indian Institute of Technology, Kanpur, India, in 2013, the Ph.D. degree from National University of Singapore, Singapore, in 2018. He is currently a postdoctoral researcher fellow at the Department of Electrical and Computer Engineering of the National University of Singapore. His research interest includes development of reconfigurable architectures for widely voltage-scalable memory and logic and general purpose compute-in-memory. Longyang Lin (M'16) received the dual bachelor's degrees from Shenzhen University, Shenzhen, China and Umeå University, Umeå, Sweden, in 2011 and the master's degree from Lund University, Lund, Sweden, in 2013, and the Ph.D. degree from the National University of Singapore, Singapore, in 2018. He is currently a postdoctoral research fellow at the Department of Electrical and Computer Engineering of the National University of Singapore. His research interests include ultra-low power VLSI circuits, self-powered sensor nodes, widely energy-scalable VLSI circuits and general purpose compute-in-memory. Massimo Alioto (M'01-SM'07-F'16) received the Laurea (MSc) degree in Electronics Engineering and the Ph.D. degree in Electrical Engineering from the University of Catania (Italy) in 1997 and 2001, respectively. He is with the Department of Electrical and Computer Engineering, National University of Singapore where he leads the Green IC group and is the Director of the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena, Intel Labs - CRL (2013), University of Michigan Ann Arbor (2011-2012), BWRC - University of California, Berkeley (2009-2011), and EPFL (Switzerland, 2007). He has authored or co-authored more than 270 publications on journals and conference proceedings. He is co-author of three books, Enabling the Internet of Things - from Circuits to Systems (Springer, 2017), Flip-Flop Design in Nanometer CMOS - from High Speed to Low Energy (Springer, 2015) and Model and Design of Bipolar and MOS Current-Mode Logic: CML, ECL and SCL Digital Circuits (Springer, 2005). His primary research interests include self-powered wireless integrated systems, near-threshold circuits for green computing, energy-quality scalable integrated systems, data-driven integrated systems, hardware-level security, and emerging technologies, among the others. He is the Editor in Chief of the IEEE Transactions on VLSI Systems (2019-2020), and was Deputy Editor in Chief of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2018). In 2009-2010 he was Distinguished Lecturer of the IEEE Circuits and Systems Society, for which he is/was also member of the Board of Governors (2015-2020), and Chair of the "VLSI Systems and Applications" Technical Committee (2010-2012). In the last five years, he has given 50+ invited talks in top conferences, universities and leading semiconductor companies. He served as Guest Editor of several IEEE journal special issues (e.g., TCAS-I, TCAS-II, JETCAS). He also serves or has served as Associate Editor of a number of IEEE and ACM journals. He is/was Technical Program Chair (ISCAS 2022, SOCC, ICECS, NEWCAS, VARI, ICM, PRIME), Track Chair in a number of conferences (ICCD, ISCAS, ICECS, VLSI-SoC, APCCAS, ICM), and is currently in the ISSCC and ASSCC technical program committee. Prof. Alioto is an IEEE Fellow.

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Informationen zum Buch

Vollständiger Name Adaptive Digital Circuits for Power-Performance Range beyond Wide Voltage Scaling
Sprache Englisch
Einband Buch - Hardcover
Datum der Veröffentlichung 2020
Anzahl der Seiten 166
EAN 9783030387952
Libristo-Code 25351971
Gewicht 454
Abmessungen 155 x 235 x 16
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