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Rebooting Computing: The Road Ahead.

The IEEE Rebooting Computing Initiative, proposed in 2012, has launched a 15-year technology roadmap to address escalating computing-performance pressures: stalled device-physics advances coupled with big data demands, novel machine-learning problems, and complex software paradigms. Potential soluti...

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Published in:Computer (00189162) Vol. 50; no. 1; pp. 20 - 30
Main Authors: Conte, Thomas M., DeBenedictis, Erik P., Gargini, Paolo A., Track, Elie
Format: Article
Published: IEEE Jan2017
Subjects:
IEEE Computer Society
Machine learning
Quantum computing
Information & communication technologies
Computer architecture
Online Access:View this record in EBSCOhost
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        atl: Rebooting Computing: The Road Ahead.
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        au:
          Conte, Thomas M.
          DeBenedictis, Erik P.
          Gargini, Paolo A.
          Track, Elie
        affil:
          Georgia Institute of Technology
          Sandia National Laboratories
          International Roadmap for Devices and Systems
          nVizix
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        IEEE Computer Society
        Machine learning
        Quantum computing
        Information & communication technologies
        Computer architecture
      sug:
        subj:
          IEEE Computer Society
          Machine learning
          Quantum computing
          Information & communication technologies
          Computer architecture
      keyword:
        Computer performance
        high-performance computing
        HPC
        IEEE
        International Roadmap for Devices and Systems
        International Technology Roadmap of Semiconductors
        IRDS
        ITRS
        Microarchitecture
        Moore's Law
        Outlook
        power wall
        RCI
        rebooting computing
        Rebooting Computing Initiative
        Semiconductor devices
        semiconductors
        technology roadmap
        Transistors
      ab: The IEEE Rebooting Computing Initiative, proposed in 2012, has launched a 15-year technology roadmap to address escalating computing-performance pressures: stalled device-physics advances coupled with big data demands, novel machine-learning problems, and complex software paradigms. Potential solutions range from new transistor technology to quantum computing.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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