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ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks
  considering Unreliable Memories

ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories

23 August 2021
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
ArXivPDFHTML

Papers citing "ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories"

17 / 17 papers shown
Title
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
Muhammad Shafique
48
0
0
01 Apr 2025
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
Muhammad Shafique
31
6
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
Muhammad Shafique
36
10
0
04 Apr 2024
SpikingJET: Enhancing Fault Injection for Fully and Convolutional
  Spiking Neural Networks
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
Anil Bayram Gogebakan
Enrico Magliano
Alessio Carpegna
A. Ruospo
Alessandro Savino
S. Di Carlo
24
2
0
30 Mar 2024
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for
  Spiking Neural Network-based Autonomous Agents
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Autonomous Agents
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
30
0
0
17 Feb 2024
Analysis on Effects of Fault Elements in Memristive Neuromorphic Systems
Analysis on Effects of Fault Elements in Memristive Neuromorphic Systems
Hyun-Jong Lee
Jae-Han Lim
11
0
0
08 Dec 2023
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
Muhammad Shafique
31
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
Muhammad Shafique
29
11
0
08 Apr 2023
TopSpark: A Timestep Optimization Methodology for Energy-Efficient
  Spiking Neural Networks on Autonomous Mobile Agents
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
42
12
0
03 Mar 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
19
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
Muhammad Shafique
40
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
Muhammad Shafique
19
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
Muhammad Shafique
19
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
Muhammad Shafique
26
16
0
24 May 2022
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network
  Accelerators under Soft Errors
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
26
28
0
10 Mar 2022
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Muhammad Shafique
Alberto Marchisio
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
44
33
0
20 Sep 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
75
100
0
04 Jan 2021
1