Loom: Exploiting Weight and Activation Precisions to Accelerate
Convolutional Neural Networks

Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks

23 June 2017

Alberto Delmas Lascorz

Andreas Moshovos

Papers citing "Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks"

13 / 13 papers shown

Title
Accelerating Attention through Gradient-Based Learned Runtime Pruning Zheng Li Soroush Ghodrati Amir Yazdanbakhsh H. Esmaeilzadeh Mingu Kang 32 17 0 07 Apr 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 32 17 0 13 Mar 2022
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 54 12 0 11 Sep 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 64 141 0 21 Dec 2020
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 48 380 0 17 Dec 2020
FPRaker: A Processing Element For Accelerating Neural Network Training Omar Mohamed Awad Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Ciaran Bannon Anand Jayarajan Gennady Pekhimenko Andreas Moshovos 28 15 0 15 Oct 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node Alfio Di Mauro Francesco Conti Pasquale Davide Schiavone D. Rossi Luca Benini 26 9 0 17 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 67 82 0 02 Jul 2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions Yuhong Li Cong Hao Xiaofan Zhang Xinheng Liu Yao Chen Jinjun Xiong Wen-mei W. Hwu Deming Chen 40 77 0 06 May 2020
Bit-Parallel Vector Composability for Neural Acceleration Soroush Ghodrati Hardik Sharma C. Young Nam Sung Kim H. Esmaeilzadeh MQ 14 20 0 11 Apr 2020
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen Xinyu Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-hsin Chen Tien-Ju Yang J. Emer Vivienne Sze MQ 18 70 0 10 Jul 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 32 488 0 05 Dec 2017