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Constant-Depth and Subcubic-Size Threshold Circuits for Matrix
  Multiplication

Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication

25 June 2020
Ojas D. Parekh
C. Phillips
C. James
J. Aimone
ArXiv (abs)PDFHTML

Papers citing "Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication"

6 / 6 papers shown
Title
Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
James B Aimone
66
0
0
23 Jul 2025
Spiking Neural Streaming Binary Arithmetic
Spiking Neural Streaming Binary ArithmeticInternational Conference on Rebooting Computing (ICRC), 2021
J. Aimone
A. Hill
William M. Severa
C. Vineyard
190
11
0
23 Mar 2022
Neuromorphic scaling advantages for energy-efficient random walk
  computation
Neuromorphic scaling advantages for energy-efficient random walk computationNature Electronics (Nat. Electron.), 2020
J. Smith
A. Hill
Leah Reeder
B. Franke
R. Lehoucq
Ojas D. Parekh
William M. Severa
J. Aimone
100
35
0
27 Jul 2021
Recognizing Images with at most one Spike per Neuron
Recognizing Images with at most one Spike per Neuron
Christoph Stöckl
Wolfgang Maass
201
12
0
30 Dec 2019
Composing Neural Algorithms with Fugu
Composing Neural Algorithms with FuguInternational Conference on Systems (ICONS), 2019
J. Aimone
William M. Severa
C. Vineyard
87
35
0
28 May 2019
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
221
737
0
19 May 2017
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