Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks
- University of Tennessee (UT)
- ORNL
Neuromorphic computing is one promising post-Moore’s law era technology. In order to develop and use neuromorphic systems, traditional von Neumann-based computers must be able to communicate with neuromorphic hardware to support functionality such as monitoring the state of the network, optimizing the array to better perform the task, and input/output data processing. In this paper, we describe our use of a separate neuromorphic array communications controller to support highthroughput, low-latency communication between a traditional computer and our implementations of neuromorphic systems. The goal of the communications controller is to provide enough performance to facilitate the desired interaction between the systems and to enable scaling of the neuromorphic systems to larger sizes.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1479768
- Country of Publication:
- United States
- Language:
- English
Similar Records
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level
Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN
Conference
·
Wed Jul 01 00:00:00 EDT 2020
·
OSTI ID:1671408
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level
Journal Article
·
Wed Nov 22 23:00:00 EST 2017
· IEEE Journal on Emerging and Selected Topics in Circuits and Systems
·
OSTI ID:1435263
Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN
Technical Report
·
Fri Dec 30 23:00:00 EST 2016
·
OSTI ID:1341738