FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons

17 December 2020

Papers citing "FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons"

8 / 8 papers shown

Title
Robust Quantization: One Model to Rule Them All Moran Shkolnik Brian Chmiel Ron Banner Gil Shomron Yury Nahshan A. Bronstein U. Weiser OOD MQ 37 75 0 18 Feb 2020
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini 35 118 0 08 Nov 2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations Konstantinos Kanellopoulos Nandita Vijaykumar Christina Giannoula Roknoddin Azizi Skanda Koppula Nika Mansouri-Ghiasi Taha Shahroodi Juan Gómez Luna O. Mutlu 41 79 0 23 Oct 2019
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 38 28 0 18 Dec 2018
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 48 489 0 05 Dec 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 94 3,002 0 27 Mar 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 129 4,342 0 16 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 192 8,793 0 01 Oct 2015