Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

20 May 2016

Papers citing "Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks"

14 / 14 papers shown

Title
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 27 0 0 07 Apr 2023
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch Dimitrios Danopoulos Georgios Zervakis K. Siozios Dimitrios Soudris J. Henkel 22 31 0 08 Mar 2022
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction Marcin Pietroñ Dominik Zurek 14 13 0 28 Dec 2021
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor Hyunbin Park Dohyun Kim Shiho Kim BDL 14 1 0 08 Sep 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 25 3 0 05 Aug 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 22 43 0 04 Feb 2019
Deep Positron: A Deep Neural Network Using the Posit Number System Zachariah Carmichael Seyed Hamed Fatemi Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi MQ 9 96 0 05 Dec 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 24 14 0 14 Nov 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 14 48 0 12 Oct 2018
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks Yuechao Gao Nianhong Liu Shenmin Zhang 11 0 0 23 Jan 2018
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 24 9 0 13 Nov 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 19 123 0 01 Nov 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 24 18 0 20 Dec 2016