Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks

22 November 2022

Papers citing "Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks"

6 / 6 papers shown

Title
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA Dario Padovano Alessio Carpegna Alessandro Savino S. Di Carlo 75 2 0 04 Apr 2024
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks Alessio Carpegna A. Savino S. Di Carlo 34 32 0 18 Jan 2022
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments Rachmad Vidya Wicaksana Putra Mohamed Bennai 26 33 0 28 Feb 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 73 143 0 21 Dec 2020
AXNet: ApproXimate computing using an end-to-end trainable neural network Zhenghao Peng Xuyang Chen Chengwen Xu Naifeng Jing Xiaoyao Liang Cewu Lu Li Jiang 30 19 0 27 Jul 2018
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization S. C. Smithson Guang Yang W. Gross B. Meyer 39 88 0 07 Nov 2016