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SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network
  Accelerators under Soft Errors
v1v2 (latest)

SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors

10 March 2022
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
ArXiv (abs)PDFHTML

Papers citing "SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors"

15 / 15 papers shown
Title
QSViT: A Methodology for Quantizing Spiking Vision Transformers
QSViT: A Methodology for Quantizing Spiking Vision Transformers
Rachmad Vidya Wicaksana Putra
Saad Iftikhar
Mohamed Bennai
MQ
84
0
0
01 Apr 2025
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Rachmad Vidya Wicaksana Putra
Pasindu Wickramasinghe
Mohamed Bennai
112
0
0
01 Apr 2025
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Spyridon Raptis
Paul Kling
Ioannis Kaskampas
Ihsen Alouani
Haralampos-G. Stratigopoulos
AAML
85
1
0
20 Mar 2025
Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
Aybars Yunusoglu
Dexter Le
Murat Isik
I. C. Dikmen
Teoman Karadag
61
0
0
27 Feb 2025
The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
Wei-Ting Chen
89
1
0
30 Nov 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking
  Neural Networks for Autonomous Agents
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
Rachmad Vidya Wicaksana Putra
Alberto Marchisio
Mohamed Bennai
66
7
0
14 Apr 2024
Embodied Neuromorphic Artificial Intelligence for Robotics:
  Perspectives, Challenges, and Research Development Stack
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Rachmad Vidya Wicaksana Putra
Alberto Marchisio
F. Zayer
Jorge Dias
Mohamed Bennai
73
11
0
04 Apr 2024
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
59
1
0
17 Feb 2024
RescueSNN: Enabling Reliable Executions on Spiking Neural Network
  Accelerators under Permanent Faults
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
57
5
0
08 Apr 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural
  Network Inference considering Approximate DRAMs for Embedded Systems
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
57
11
0
08 Apr 2023
Improving Reliability of Spiking Neural Networks through Fault Aware
  Threshold Voltage Optimization
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Ayesha Siddique
K. A. Hoque
52
5
0
12 Jan 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking
  Neural Networks
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
57
6
0
24 Dec 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep
  Neural Networks
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci
A. Steininger
Mohamed Bennai
73
12
0
31 Jul 2022
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
74
6
0
17 Jun 2022
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for
  Efficient Unsupervised Continual Learning on Autonomous Agents
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
56
16
0
24 May 2022
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