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Next Generation Arithmetic for Edge Computing

Design, Automation, and Test in Europe, pp. 1357–1365

Abstract

Arithmetic is a key component and is ubiquitous in today’s digital world, ranging from embedded to high-performance computing systems. With machine learning at the fore in a wide range of application domains from wearables to automotive to avionics to weather prediction, sufficiently accurate yet low-cost arithmetic is the need for the day. Recently, there have been several advances in the domain of computer arithmetic, which includes high-precision anchored numbers from ARM, posit arithmetic, bfloat16, etc. as an alternative to IEEE 754-2008 compliant arithmetic. Optimizations on fixed-point and integer arithmetic are also being pursued actively for low-power computing architectures. Furthermore, approximate computing and transprecision/mixed-precision computing have been exciting areas of research forever. While academic research in the domain of computer arithmetic has a long history, industrial adoption of some of these new data types and techniques is in its early stages and expected to increase in the future. bfloat16 is an excellent example for this. In this paper, we bring academia and industry together to discuss the latest results and future directions for research in the domain of next-generation computer arithmetic, especially for edge computing.

Authors 8

  1. Robert Bosch (Germany)

    Affiliation as printed

    Robert Bosch GmbH,Corporate Research,Germany

    Robert Bosch Gmbh [Schwieberdingen] (Robert-Bosch-Strasse 2 71701 Schwieberdingen Baden-Wuerttemberg - Germany)

  2. Robert Bosch (Germany)

    Affiliation as printed

    Robert Bosch GmbH,Corporate Research,Germany

    Robert Bosch Gmbh [Schwieberdingen] (Robert-Bosch-Strasse 2 71701 Schwieberdingen Baden-Wuerttemberg - Germany)

  3. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Institute for Communication Technologies and Embedded Systems,Germany

  4. Institut national de recherche en sciences et technologies du numérique · Institut National des Sciences Appliquées de Lyon

    Affiliation as printed

    Univ Lyon,INSA Lyon, Inria, CITI

    SOCRATE - Software and Cognitive radio for telecommunications (CITI Laboratory Domaine Scientifique de la Doua, INSA Lyon Batiment Leonard de Vinci 21, avenue Jean Capelle 69621 Villeurbanne Cedex - France)

  5. National University of Singapore

    Affiliation as printed

    National University of Singapore,Singapore

    NUS - National University of Singapore (21 Lower Kent Ridge Rd, Singapour 119077 - Singapore)

  6. Intel (United States) · Intel (United Kingdom)

    Affiliation as printed

    Intel Corporation

    Intel Corporation [Salisbury] (Salisbury - United Kingdom)

  7. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Institute for Communication Technologies and Embedded Systems,Germany

  8. Robert Bosch (India)

    Affiliation as printed

    Bosch Research and Technology Centre,Bangalore,India

    Bosch Research and Technology Center [Bangalore] (Post Box No. 3000, Hosur Road, Adugodi Bengaluru - 560 030 - India)

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References 37