In Quest of the Next Information Processing Substrate: Extended Abstract: Invited

Suman Datta, Alan Seabaugh, Michael Niemier, Arijit Raychowdhury, Darrell Schlom, Debdeep Jena, Grace Xing, H. S.Philip Wong, Eric Pop, Sayeef Salahuddin, Sumeet Gupta, Supratik Guha

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Conventional CMOS scaling and the Moore's law have been the cornerstone of progress in computing hardware technology. However, with dimensional scaling expected to end soon, there is a pressing need to find the next information processing hardware that can continue to support the technology revolution. Will this hardware solution be an enhanced or an augmented version of MOSFET or a switch based on a radically new switching mechanism. Ultimately, do we require a complete deviation from the Boolean paradigm itself? In this invited paper, we will review some of the actively pursued future logic, merged logic-memory and related concepts. While it remains unclear which of these options will eventually make it into commercial products, we will argue- based on lessons learnt from the past two decades of transistor development- that sustained and systematic research with careful benchmarking from future workload and applications viewpoint remains the key to success in the quest for the new information processing hardware.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781450349277
    StatePublished - Jun 18 2017
    Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
    Duration: Jun 18 2017Jun 22 2017

    Publication series

    NameProceedings - Design Automation Conference
    VolumePart 128280
    ISSN (Print)0738-100X


    Other54th Annual Design Automation Conference, DAC 2017
    Country/TerritoryUnited States

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Modeling and Simulation


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