SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM

28 February 2021

Papers citing "SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM"

5 / 5 papers shown

Title
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 66 0 0 01 Apr 2025
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks Rachmad Vidya Wicaksana Putra Mohamed Bennai 33 46 0 17 Jul 2020
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 46 105 0 12 Oct 2019
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 43 230 0 04 Jun 2018
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition Nitin Rathi Priyadarshini Panda Kaushik Roy 37 112 0 12 Oct 2017