Revolutionizing Neuromorphic Computing for Science (Report for the 2024 ASCR Workshop on Neuromorphic Computing for Science)

Technical Report · Fri Sep 13 00:00:00 EDT 2024

DOI:https://doi.org/10.2172/2476969· OSTI ID:2476969

Adam, Gina ^[1]; Kenyon, Garrett ^[2]; Potok, Thomas ^[3]

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1. George Washington Univ., Washington, DC (United States)
2. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
3. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

The ASCR basic research needs for Neuromorphic Computing for Science workshop was held in September 2024. The workshop brochure and report aim to inform and draft a set of grand challenges for advancing the field of neuromorphic computing and developing proof of principle neuromorphic circuits applicable for High Performance Computer (HPC) acceleration for scientific discovery, and brainstorm ideas needed for a successful, robust, and world leading basic research program. The resulting priority research directions are: (1) Neuromorphic computing circuit primitives; (2) Connectivity, communication, and hardware integration; (3) Neuroscience-derived dynamics and algorithms; and (4) Ecosystem for scalable neuromorphic co-design. Breakthroughs in understanding, designing, and prototyping the circuitry and simulation capabilities for a truly neuromorphic computer are essential to enable progress in the field.

• Research Organization: US Department of Energy (USDOE), Washington, DC (United States). Office of Science, Advanced Scientific Computing Research (ASCR)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: NONE
• OSTI ID: 2476969
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING