no code implementations • 15 Oct 2023 • Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose
Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm.
no code implementations • 27 Jul 2023 • Adam Z. Foshie, James S. Plank, Garrett S. Rose, Catherine D. Schuman
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee.
no code implementations • 11 Jun 2023 • Hritom Das, Rocco D. Febbo, SNB Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel Cady, Garrett S. Rose
With our proposed design READ current can be optimized by about 19x compared to the 1T1R design.
no code implementations • 8 Nov 2022 • James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman
This paper presents a Neuromorphic Starter Kit, which has been designed to help a variety of research groups perform research, exploration and real-world demonstrations of brain-based, neuromorphic processors and hardware environments.
no code implementations • 28 Jun 2022 • James S. Plank, ChaoHui Zheng, Bryson Gullett, Nicholas Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose
In this paper, we introduce RISP, a reduced instruction spiking processor.
no code implementations • 19 May 2017 • Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture.
