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FSpiNN: An Optimization Framework for Memory- and Energy-Efficient
  Spiking Neural Networks

FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks

17 July 2020
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
ArXivPDFHTML

Papers citing "FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks"

10 / 10 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
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
50
1
0
08 Mar 2025
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
24
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
37
12
0
03 Mar 2023
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
23
28
0
10 Mar 2022
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural
  Networks
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks
Alessio Carpegna
A. Savino
S. Di Carlo
6
31
0
18 Jan 2022
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks
  considering Unreliable Memories
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
18
36
0
23 Aug 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Muhammad Shafique
AAML
31
30
0
01 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous
  Cars on the Loihi Neuromorphic Research Processor
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Muhammad Shafique
33
45
0
01 Jul 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