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"

5 / 5 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 20 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 11 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 19 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 10 45 0 27 Aug 2019
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014