An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight
Pruning and Quantization Using ADMM

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM

29 August 2019

Caiwen Ding

Zeinab S. Jalali

Papers citing "An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM"

16 / 16 papers shown

Title
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 45 10 0 02 May 2019
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone Wei Niu Xiaolong Ma Yanzhi Wang Bin Ren 3DH 21 23 0 02 May 2019
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning Xiaolong Ma Geng Yuan Sheng Lin Zechao Li Hao Sun Yanzhi Wang 24 37 0 30 Apr 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad Xinyu Lin Yongpan Liu Yanzhi Wang MQ 55 38 0 23 Mar 2019
Scalable NoC-based Neuromorphic Hardware Learning and Inference Haowen Fang Amar Shrestha De Ma Qinru Qiu 20 24 0 18 Sep 2018
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs Tianyun Zhang Shaokai Ye Kaiqi Zhang Xiaolong Ma Ning Liu ... Jian Tang Kaisheng Ma Xue Lin M. Fardad Yanzhi Wang 50 50 0 29 Jul 2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs Caiwen Ding Ao Ren Geng Yuan Xiaolong Ma Jiayu Li Ning Liu Bo Yuan Yanzhi Wang 37 23 0 28 Mar 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang Caiwen Ding Zhe Li Geng Yuan Siyu Liao ... Bo Yuan Xuehai Qian Jian Tang Qinru Qiu Xinyu Lin 40 33 0 18 Feb 2018
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing Xiaolong Ma Yipeng Zhang Geng Yuan Ao Ren Zhe Li Jie Han Jiaxi Hu Yanzhi Wang 26 17 0 03 Feb 2018
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu ... Yipeng Zhang Jian Tang Qinru Qiu Xinyu Lin Bo Yuan GNN 48 260 0 29 Aug 2017
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design Aayush Ankit Abhronil Sengupta Kaushik Roy 32 37 0 26 Aug 2017
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 114 2,331 0 12 Aug 2016
Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng MQ 68 1,163 0 21 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 247 6,628 0 08 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 857 149,474 0 22 Dec 2014
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 95 1,844 0 03 Oct 2014