Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Brain Corporation, San Diego, CA (United States)
- Univ. of Pittsburgh, PA (United States)
- US Dept. of Energy, Washington, DC (United States)
The White House and Department of Energy have been instrumental in driving the development of a neuromorphic computing program to help the United States continue its lead in basic research into (1) Beyond Exascale—high performance computing beyond Moore’s Law and von Neumann architectures, (2) Scientific Discovery—new paradigms for understanding increasingly large and complex scientific data, and (3) Emerging Architectures—assessing the potential of neuromorphic and quantum architectures. Neuromorphic computing spans a broad range of scientific disciplines from materials science to devices, to computer science, to neuroscience, all of which are required to solve the neuromorphic computing grand challenge. In our workshop we focus on the computer science aspects, specifically from a neuromorphic device through an application. Neuromorphic devices present a very different paradigm to the computer science community from traditional von Neumann architectures, which raises six major questions about building a neuromorphic application from the device level. We used these fundamental questions to organize the workshop program and to direct the workshop panels and discussions. From the white papers, presentations, panels, and discussions, there emerged several recommendations on how to proceed.
- Research Organization:
- USDOE Office of Science (SC) (United States). Advanced Scientific Computing Research (ASCR)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI ID:
- 1341738
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Programming Framework for Neuromorphic Systems with Emerging Technologies
Accelerating Scientific Computing in the Post-Moore’s Era