DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks

21 April 2020

Papers citing "DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks"

6 / 6 papers shown

Title
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 37 11 0 08 Apr 2023
Tensor Slicing and Optimization for Multicore NPUs R. Sousa M. Pereira Yongin Kwon Taeho Kim Namsoon Jung Chang Soo Kim Michael Frank Guido Araujo 35 5 0 06 Apr 2023
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks Rachmad Vidya Wicaksana Putra Mohamed Bennai 31 6 0 17 Jun 2022
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization Yue Tang Xinyi Zhang Peipei Zhou Jingtong Hu 21 17 0 18 Feb 2022
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Mohamed Bennai 31 36 0 23 Aug 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 64 140 0 21 Dec 2020