Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Rose, Garrett S."'
Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm. The goal is to develop an adaptive, fault-tolerant, low-footprint, fast, low-energy intelligent system by lea
Externí odkaz:
http://arxiv.org/abs/2310.09692
Autor:
Islam, Md Mazharul, Alam, Shamiul, Rose, Garrett S., Fathy, Aly, Gupta, Sumeet Kumar, Aziz, Ahmedullah
Phase transition materials (PTM) have drawn significant attention in recent years due to their abrupt threshold switching characteristics and hysteretic behavior. Augmentation of the PTM with a transistor has been shown to provide enhanced selectivit
Externí odkaz:
http://arxiv.org/abs/2310.09292
Autor:
Islam, Md Mazharul, Alam, Shamiul, Jahangir, Mohammad Adnan, Rose, Garrett S., Datta, Suman, Narayanan, Vijaykrishnan, Gupta, Sumeet Kumar, Aziz, Ahmedullah
Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense amplifier (SA) topologies based on phase transition material (PTM) tailo
Externí odkaz:
http://arxiv.org/abs/2308.15756
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristive elements; however it has also been the vehicle for all-digital CMOS
Externí odkaz:
http://arxiv.org/abs/2307.15232
Synapse is a key element of any neuromorphic computing system which is mostly constructed with memristor devices. A memristor is a two-terminal analog memory device. Memristive synapse suffers from various challenges such as forming at high voltage,
Externí odkaz:
http://arxiv.org/abs/2306.13721
Autor:
Das, Hritom, Febbo, Rocco D., Tushar, SNB, Chakraborty, Nishith N., Liehr, Maximilian, Cady, Nathaniel, Rose, Garrett S.
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers, 10 August 2023
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in the commonly used voltage-pulse-based programming approaches and requir
Externí odkaz:
http://arxiv.org/abs/2306.06551
Autor:
Das, Hritom, Febbo, Rocco D., Rizzo, Charlie P., Chakraborty, Nishith N., Plank, James S., Rose, Garrett S.
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. Our proposed synapse demonstrates reliability in the face of process va
Externí odkaz:
http://arxiv.org/abs/2305.16418
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. A prototype ki
Externí odkaz:
http://arxiv.org/abs/2211.04526
Autor:
Plank, James S., Zheng, ChaoHui, Gullett, Bryson, Skuda, Nicholas, Rizzo, Charles, Schuman, Catherine D., Rose, Garrett S.
In this paper, we introduce RISP, a reduced instruction spiking processor. While most spiking neuroprocessors are based on the brain, or notions from the brain, we present the case for a spiking processor that simplifies rather than complicates. As s
Externí odkaz:
http://arxiv.org/abs/2206.14016
Autor:
Hasan, Md Sakib, Shanta, Aysha S., Paul, Partha Sarathi, Sadia, Maisha, Majumder, Md Badruddoja, Rose, Garrett S.
In this paper, a novel chaotic map is introduced usinga voltage controlled negative differential resistance (NDR) circuitcomposed of ann-channel and ap-channel silicon-on-insulator(SOI) four-gate transistor (G4FET). The multiple gates of theG4FET are
Externí odkaz:
http://arxiv.org/abs/2101.00334