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  • 1. Kildal, Per-Simon
    et al.
    Orlenius, Charlie
    Carlsson, Jan
    RISE, SP – Sveriges Tekniska Forskningsinstitut, SP Elektronik, EMC.
    OTA Testing in Multipath of Antennas and Wireless Devices with MIMO and OFDM2012In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 100, no 7, p. 2145-2157Article in journal (Refereed)
  • 2.
    Kleyko, Denis
    et al.
    RISE Research Institutes of Sweden, Digital Systems, Data Science. University of California at Berkeley, USA.
    Davies, Mike
    Intel Labs, USA.
    Frady, Paxon
    Intel Labs, USA.
    Kanerva, Pentti
    University of California at Berkeley, USA.
    Kent, Spencer
    University of California at Berkeley, USA.
    Olshausen, Bruno
    University of California at Berkeley, USA.
    Osipov, Evgeny
    Luleå University of Technology, Sweden.
    Rabaey, Jan
    University of California at Berkeley, USA.
    Rachkovskij, Dmitri
    International Research and Training Center for Information Technologies and Systems, Ukraine; Luleå University of Technology, Sweden.
    Rahimi, Abbas
    IBM Research-Zurich, Switzerland.
    Sommer, Friedrich
    University of California at Berkeley, USA.
    Vector Symbolic Architectures as a Computing Framework for Emerging Hardware2022In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 110, no 10, p. 1538-1571Article in journal (Refereed)
    Abstract [en]

    This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is well suited for implementation in stochastic, emerging hardware, and it naturally expresses the types of cognitive operations required for artificial intelligence (AI). We demonstrate in this article that the field-like algebraic structure of VSA offers simple but powerful operations on high-dimensional vectors that can support all data structures and manipulations relevant to modern computing. In addition, we illustrate the distinguishing feature of VSA, 'computing in superposition,' which sets it apart from conventional computing. It also opens the door to efficient solutions to the difficult combinatorial search problems inherent in AI applications. We sketch ways of demonstrating that VSA are computationally universal. We see them acting as a framework for computing with distributed representations that can play a role of an abstraction layer for emerging computing hardware. This article serves as a reference for computer architects by illustrating the philosophy behind VSA, techniques of distributed computing with them, and their relevance to emerging computing hardware, such as neuromorphic computing. 

  • 3.
    Watteyne, Thomas
    et al.
    Inria, France.
    Handziski, Vlado
    Technical University of Berlin, Germany.
    Vilajosana, Xavier
    Open University of Catalonia, Spain; Worldsensing SL, Spain.
    Duquennoy, Simon
    RISE, Swedish ICT, SICS, Computer Systems Laboratory. Inria, France.
    Hahm, Oliver
    Inria, France.
    Bacceli, Emmanuel
    Inria, France.
    Wolisz, Adam
    Technical University of Berlin, Germany.
    Industrial Wireless IP-based Cyber Physical Systems2016In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 104, no 5, p. 1025-1038, article id 7430267Article in journal (Refereed)
    Abstract [en]

    Industrial control systems have traditionally been built around dedicated wired solutions. The requirements of flexibility, mobility, and cost have created a strong push toward wireless solutions, preferably solutions requiring low power. Simultaneously, the increased need for interoperability and integration with the wider Internet made a transition to IP-based communication unavoidable. Following these trends, we survey 6TiSCH, the emerging family of standards for IP-based industrial communication over low-power and lossy networks. We describe the state of the standardization work, the major issues being discussed, and open questions recently identified. Based on extensive first-hand experience, we discuss challenges in implementation of this new wave of standards. Lessons learned are highlighted from four popular open-source implementations of these standards: OpenWSN, Contiki, RIOT, and TinyOS. We outline major requirements, present insights from early interoperability testing and performance evaluations, and provide guidelines for chip manufacturers and implementers.

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