ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network
Accelerators without Retraining

ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining

11 June 2019

Vojtěch Mrázek

Lukás Sekanina

Muhammad Abdullah Hanif

Muhammad Shafique

Papers citing "ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining"

11 / 11 papers shown

Title
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 81 0 0 24 Apr 2025
TransAxx: Efficient Transformers with Approximate Computing Dimitrios Danopoulos Georgios Zervakis Dimitrios Soudris Jörg Henkel ViT 42 2 0 12 Feb 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 37 3 0 20 Jul 2023
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 14 2 0 31 Jul 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique MQ 22 4 0 31 Jul 2022
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch Dimitrios Danopoulos Georgios Zervakis K. Siozios Dimitrios Soudris J. Henkel 29 31 0 08 Mar 2022
HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks Su Zheng Zhen Li Yao Lu Jingbo Gao Jide Zhang Lingli Wang 14 5 0 20 Jan 2022
Positive/Negative Approximate Multipliers for DNN Accelerators Ourania Spantidi Georgios Zervakis Iraklis Anagnostopoulos H. Amrouch J. Henkel 20 18 0 20 Jul 2021
Reliability-Aware Quantization for Anti-Aging NPUs Sami Salamin Georgios Zervakis Ourania Spantidi Iraklis Anagnostopoulos J. Henkel H. Amrouch 13 13 0 08 Mar 2021
Control Variate Approximation for DNN Accelerators Georgios Zervakis Ourania Spantidi Iraklis Anagnostopoulos H. Amrouch J. Henkel BDL 28 22 0 18 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 Muhammad Shafique BDL 56 140 0 21 Dec 2020