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Editorial TVLSI Positioning - Continuing and Accelerating an Upward Trajectory

  • Massimo Alioto
  • , Magdy S. Abadir
  • , Tughrul Arslan
  • , Chirn Chye Boon
  • , Andreas Burg
  • , Chip Hong Chang
  • , Meng Fan Chang
  • , Yao Wen Chang
  • , Poki Chen
  • , Pasquale Corsonello
  • , Paolo Crovetti
  • , Shiro Dosho
  • , Rolf Drechsler
  • , Ibrahim Abe M. Elfadel
  • , Ruonan Han
  • , Masanori Hashimoto
  • , Chun Huat Heng
  • , Deukhyoun Heo
  • , Tsung Yi Ho
  • , Houman Homayoun
  • Yuh Shyan Hwang, Ajay Joshi, Rajiv V. Joshi, Tanay Karnik, Chulwoo Kim, Tae Hyoung Tony Kim, Jaydeep Kulkarni, Volkan Kursun, Yoonmyung Lee, Hai Helen Li, Huawei Li, Prabhat Mishra, Baker Mohammad, Mehran Mozaffari Kermani, Makoto Nagata, Koji Nii, Partha Pratim Pande, Bipul C. Paul, Vasilis F. Pavlidis, Jose Pineda De Gyvez, Ioannis Savidis, Patrick Schaumont, Fabio Sebastiano, Anirban Sengupta, Mingoo Seok, Mircea R. Stan, Mark M. Tehranipoor, Aida Todri-Sanial, Marian Verhelst, Valerio Vignoli, Xiaoqing Wen, Jiang Xu, Wei Zhang, Zhengya Zhang, Jun Zhou, Mark Zwolinski, Stacey Weber
  • Università di Catania and Sezione INFN
  • National University of Singapore
  • Alexandria University
  • University of Saskatchewan
  • University of Southern California
  • University of Edinburgh
  • Nanyang Technological University
  • ETH Zurich
  • Pennsylvania State University
  • National Chiao Tung University
  • National Taiwan University
  • The University of Texas at Austin
  • Università di Napoli 'Federico II' and Sezione INFN
  • Politecnico di Torino
  • Tokyo Institute of Technology
  • J. W. Goethe University Frankfurt am Main
  • Fudan University
  • University of Florida
  • Cornell University
  • Kyoto University
  • University of Illinois at Urbana - Champaign
  • Georgia Institute of Technology
  • Department of Computer Science of National National Tsing Hua University
  • Sharif University of Technology
  • University of Victoria
  • University of California-Irvine
  • University of Mumbai
  • School of Electrical and Computer Engineering
  • Massachusetts Institute of Technology
  • IIT Bombay
  • Columbia University
  • Korea University
  • University of Minnesota Twin Cities
  • Purdue University
  • Middle East Technical University (METU)
  • University of Rochester
  • Pohang University of Science and Technology
  • University of Michigan, Ann Arbor
  • Tsinghua University
  • Xiangtan University
  • Chinese Academy of Sciences (CAS)
  • University of Tehran
  • University of Western Ontario
  • Gakushuin University
  • Hiroshima University
  • Tokushima University
  • Kobe University
  • Washington State University (WSU)
  • Democritus University of Thrace
  • Eindhoven University of Technology
  • Duke University
  • Ghent University
  • UCLA
  • University of Pisa
  • Delft University of Technology
  • Ryerson University
  • Seoul National University
  • University Politehnica of Bucharest
  • University of Massachusetts Amherst
  • Bradley University
  • Long Beach State University
  • University of California, Santa Barbara
  • KU Leuven
  • University of Florence
  • Osaka University
  • Princeton University
  • Harbin Institute of Technology
  • University of Waterloo
  • University of California, Berkeley
  • University of Electronic Science and Technology of China
  • Newcastle University
  • University of Southampton
  • Rutgers University–New Brunswick

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

Abstract

I. VLSI Systems: A Glance Into The Last Decades Since their inception in 1970s, VLSI systems have enabled several new technological capabilities and made them accessible to an unceasingly wider range of users, reaching a scale that has been exponentially increasing over the decades [1] (see Fig. 1). Relentless integration of more complex systems has driven such remarkable evolution, as made possible by the inexorable miniaturization. As shown in Fig. 1, more functionality has been crammed in a consistently smaller form factor, as exemplified by the physical volume shrinking of computers by 100 X/decade [2], [3]. At the same time, the energy per task has been decreasing at 10-100 X/decade, as shown in Fig. 2, for several systems and system-on-chip subsystems [4]. This allowed packing more capabilities into the same power envelope, as generally observed in the electronic systems, even before the advent of the integrated circuit [5].

Original languageBritish English
Article number8629340
Pages (from-to)253-280
Number of pages28
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume27
Issue number2
DOIs
StatePublished - 1 Feb 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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