Towards Ultra-High Performance and Energy Efficiency of Deep Learning
Systems: An Algorithm-Hardware Co-Optimization Framework

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework

18 February 2018

Caiwen Ding

Papers citing "Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework"

8 / 8 papers shown

Title
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning Do-Yup Kim Dami Lee Ji-Wan Kim Hyun-Suk Lee 31 4 0 02 Jul 2023
Deep reinforcement learning for automatic run-time adaptation of UWB PHY radio settings Dieter Coppens A. Shahid E. De Poorter AI4CE 16 1 0 13 Oct 2022
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin ... Hang Liu Xuehai Qian M. N. Bojnordi Yanzhi Wang Caiwen Ding 24 68 0 16 Jun 2021
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation Xiaolong Ma Geng Yuan Sheng Lin Caiwen Ding Fuxun Yu Tao Liu Wujie Wen Xiang Chen Yanzhi Wang MQ 12 45 0 27 Aug 2019
CircConv: A Structured Convolution with Low Complexity Siyu Liao Zhe Li Liang Zhao Qinru Qiu Yanzhi Wang Bo Yuan 19 18 0 28 Feb 2019
Building Efficient Deep Neural Networks with Unitary Group Convolutions Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang 23 28 0 19 Nov 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs Shuo Wang Zhe Li Caiwen Ding Bo Yuan Yanzhi Wang Qinru Qiu Yun Liang 20 192 0 14 Mar 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014