A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications

Conference · Wed Nov 01 04:00:00 EDT 2017 · 2017 IEEE International Conference on Rebooting Computing (ICRC); 8-9 Nov. 2017; Washington, DC, USA

DOI:https://doi.org/10.1109/ICRC.2017.8123655· OSTI ID:1567580

Plank, James S.; Rose, Garrett S.; Dean, Mark E.; Schuman, Catherine D.; Cady, Nathaniel C.

With the death of Moore's law, the computing community is in a period of exploration, focusing on novel computing devices, paradigms, and techniques for programming. The TENN-Lab group has developed a hardware/software co- design framework for this exploration, on which we perform research with three thrusts: (1) Devices for computing, such as memristors and biomimetic membranes. (2) Applications that employ spiking neural networks for processing. (3) Machine learning techniques to program. The design framework is unified, because it allows all three thrusts to work in concert, so that, for example, new results on device design can apply instantly to the current results of applications and learning. In this paper, we detail the interweaving components of the design framework. We then describe case studies on each of the research thrusts above, highlighting how the unified framework is enabling to each case study.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: USDOE Office of Science; USDOE
• OSTI ID: 1567580
• Conference Information: Journal Name: 2017 IEEE International Conference on Rebooting Computing (ICRC); 8-9 Nov. 2017; Washington, DC, USA
• Country of Publication: United States
• Language: English