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Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking
  Neural Networks

Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
23 March 2022
Jan Sommer
M. A. Özkan
Oliver Keszocze
Jürgen Teich
ArXiv (abs)PDFHTML

Papers citing "Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks"

3 / 3 papers shown
TsetlinKWS: A 65nm 16.58uW, 0.63mm2 State-Driven Convolutional Tsetlin Machine-Based Accelerator For Keyword Spotting
TsetlinKWS: A 65nm 16.58uW, 0.63mm2 State-Driven Convolutional Tsetlin Machine-Based Accelerator For Keyword Spotting
Baizhou Lin
Yuetong Fang
Renjing Xu
Rishad Shafik
Jagmohan Chauhan
75
0
0
28 Oct 2025
Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks:
  An Overview
Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks: An OverviewInternational Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2024
Ilkin Aliyev
Kama Svoboda
Tosiron Adegbija
J. Fellous
200
2
0
26 Aug 2024
Tricking AI chips into Simulating the Human Brain: A Detailed
  Performance Analysis
Tricking AI chips into Simulating the Human Brain: A Detailed Performance AnalysisNeurocomputing (Neurocomputing), 2023
Lennart P L Landsmeer
Max C. W. Engelen
Rene Miedema
Christos Strydis
135
10
0
31 Jan 2023
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