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The neurobench framework for benchmarking neuromorphic computing algorithms and systems

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  • Additional Information
    • Publication Information:
      Uppsala universitet, Signaler och system
      Harvard Univ, Cambridge, MA 02138 USA.
      Harvard Univ, Cambridge, MA 02138 USA.;Delft Univ Technol, Delft, Netherlands.
      Delft Univ Technol, Delft, Netherlands.
      Forschungszentrum Julich, Julich, Germany.
      Univ Groningen, Groningen, Netherlands.
      Delft Univ Technol, Delft, Netherlands.;IMEC, Eindhoven, Netherlands.
      SynSense, Zurich, Switzerland.
      Örebro Univ, Örebro, Sweden.;Res Inst Sweden, Gothenburg, Sweden.
      Accenture Labs, San Francisco, CA USA.
      Intel Labs, Hillsboro, OR USA.
      City Univ Hong Kong, Kowloon Tong, Hong Kong, Peoples R China.
      IMEC, Eindhoven, Netherlands.
      IMEC, Eindhoven, Netherlands.;Eindhoven Univ Technol, Eindhoven, Netherlands.
      Innatera Nanosyst BV, Rijswijk, Netherlands.
      Politecn Torino, Turin, Italy.
      NeuroBus, Toulouse, France.
      Ctr Wiskunde & Informat, Amsterdam, Netherlands.
      SpiNNcloud Syst GmbH, Dresden, Germany.
      Johns Hopkins Univ, Baltimore, MD USA.
      Ist Italiano Tecnol, Genoa, Italy.
      Natl Inst Stand & Technol, Gaithersburg, MD USA.
      Univ Calif San Diego, San Diego, CA USA.
      Eindhoven Univ Technol, Eindhoven, Netherlands.
      UTSA, San Antonio, TX USA.
      Univ Zurich, Zurich, Switzerland.;Swiss Fed Inst Technol, Zurich, Switzerland.;Google, Mountain View, CA USA.
      UCSC, Santa Cruz, CA USA.
      Queensland Univ Technol, Brisbane, Australia.
      Cornell Univ, Ithaca, NY USA.
      Univ Manchester, Manchester, England.
      U Waterloo, Waterloo, ON, Canada.
      Univ Texas Austin, Austin, TX USA.;Medici Therapeut, Austin, TX 78759 USA.
      Univ Zurich, Zurich, Switzerland.;Swiss Fed Inst Technol, Zurich, Switzerland.
      Univ Notre Dame, Notre Dame, IN USA.
      Sony Semicond Solut Europe, Weybridge, England.;Sony Europe BV, Weybridge, Surrey, England.
      Univ Sussex, Brighton, England.
      Univ Zurich, Zurich, Switzerland.;Swiss Fed Inst Technol, Zurich, Switzerland.;Univ Bern, Bern, Switzerland.
      Univ Pittsburgh, Pittsburgh, PA USA.
      Cent Supelec, Gif Sur Yvette, France.
      Yale Univ, New Haven, CT USA.
      Inst Microelect Barcelona, Barcelona, Spain.
      Tech Univ Dresden, Dresden, Germany.;Tech Univ Dresden, D-01069 Dresden, Germany.
      Rutgers State Univ, New Brunswick, NJ USA.
      Forschungszentrum Julich, Julich, Germany.;Rhein Westfal TH Aachen, Aachen, Germany.
      Korea Inst Sci & Technol, Seoul, South Korea.
      Heidelberg Univ, Heidelberg, Germany.
      Univ Bern, Bern, Switzerland.
      PROPHESEE, Paris, France.
      Intel Labs, Hillsboro, OR USA.;ZHAW, Winterthur, Switzerland.
      Western Sydney Univ, Sydney, Australia.
      Univ Tennessee, Knoxville, TN USA.
      Cornell Tech, New York, NY 10044 USA.
      Forschungszentrum Julich, Julich, Germany.;UCI, Irvine, CA USA.
      Natl Res Council Canada, Ottawa, ON, Canada.
      IMEC, Eindhoven, Netherlands.;Katholieke Univ Leuven, Leuven, Belgium.
      Sandia Natl Labs, Albuquerque, NM USA.
      Tech Univ Dresden, Dresden, Germany.
    • Publication Date:
      2025
    • Collection:
      Uppsala University: Publications (DiVA)
    • Abstract:
      Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. This article presents NeuroBench, a benchmark framework for neuromorphic algorithms and systems, which is collaboratively designed from an open community of researchers across industry and academia. NeuroBench introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent and hardware-dependent settings. For latest project updates, visit the project website (neurobench.ai).
    • File Description:
      application/pdf
    • Relation:
      Nature Communications, 2025, 16:1; PMID 39934126; ISI:001420017600023
    • Accession Number:
      10.1038/s41467-025-56739-4
    • Online Access:
      http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-558404
      https://doi.org/10.1038/s41467-025-56739-4
    • Rights:
      info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.1D03316A