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RANC: Reconfigurable Architecture for Neuromorphic Computing

RANC: Reconfigurable Architecture for Neuromorphic Computing

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
1 November 2020
J. Mack
Ruben Purdy
K. Rockowitz
Michael Inouye
Edward Richter
Spencer Valancius
Nirmal Kumbhare
M. S. Hassan
Kaitlin L. Fair
John Mixter
Ali Akoglu
ArXiv (abs)PDFHTML

Papers citing "RANC: Reconfigurable Architecture for Neuromorphic Computing"

7 / 7 papers shown
A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
Wiktor J. Szczerek
Artur Podobas
GNN
339
3
0
23 Feb 2025
Robust Iterative Value Conversion: Deep Reinforcement Learning for
  Neurochip-driven Edge Robots
Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots
Y. Kadokawa
Tomohito Kodera
Yoshihisa Tsurumine
Shinya Nishimura
Takamitsu Matsubara
293
4
0
23 Aug 2024
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic
  Architectures
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
M. S. Hassan
Michael Inouye
Miguel Castro-Gonzalez
Ilkin Aliyev
J. Mack
Maisha Hafiz
Ali Akoglu
202
2
0
24 Apr 2024
A Novel Implementation Methodology for Error Correction Codes on a
  Neuromorphic Architecture
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic ArchitectureIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023
Sahil Hassan
Parker Dattilo
Ali Akoglu
238
3
0
06 Jun 2023
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural
  Networks
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
Rui-Jie Zhu
Qihang Zhao
Guoqi Li
Nhan Duy Truong
BDLVLM
555
124
0
27 Feb 2023
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligenceProceedings of the IEEE (Proc. IEEE), 2021
Charlotte Frenkel
D. Bol
Giacomo Indiveri
338
63
0
02 Jun 2021
A Survey of Neuromorphic Computing and Neural Networks in Hardware
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
413
773
0
19 May 2017
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