Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

James B Aimone; Omar Awile; Markus Diesmann; James C Knight; Thomas Nowotny; Felix Schürmann

doi:10.3389/fninf.2023.1157418

Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

Front Neuroinform. 2023 Mar 30:17:1157418. doi: 10.3389/fninf.2023.1157418. eCollection 2023.

Authors

James B Aimone¹, Omar Awile², Markus Diesmann^{3

4

5}, James C Knight⁶, Thomas Nowotny⁶, Felix Schürmann²

Affiliations

¹ Neural Exploration and Research Laboratory, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM, United States.
² Blue Brain Project, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland.
³ Institute of Neuroscience and Medicine and Institute for Advanced Simulation and JARA-Institute Brain Structure-Function Relationships, Jülich Research Centre, Jülich, Germany.
⁴ Department of Physics, Faculty 1, RWTH Aachen University, Aachen, Germany.
⁵ Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany.
⁶ School of Engineering and Informatics, University of Sussex, Brighton, United Kingdom.

No abstract available

Keywords: biophysically detailed models; large-scale simulation; neuromorphic computing architectures; performance benchmarking; simulation workflows; software sustainability; subcellular neurosimulation.

Publication types

Editorial

Grants and funding

JA was supported by the Collaborative Research in Computational Neuroscience (CRCNS) program through the US Department of Energy's Advanced Scientific Computing Research office. The work of OA and FS is supported by funding to the Blue Brain Project, a research center of the École Polytechnique Fédérale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology. JK was funded by the EPSRC (Grant Number EP/V052241/1). MD and TN are funded by the European Union's Horizon 2020 research and innovation programme under Grant Agreement 945539 (HBP SGA3). Finally, MD's work was supported by HiRSE_PS, the Helmholtz Platform for Research Software Engineering—Preparatory Study, an innovation pool project of the Helmholtz Association.