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A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks 期刊论文
IEEE DESIGN & TEST, 2020, 卷号: 37, 期号: 1, 页码: 36-45
作者:  He, Xin;  Yan, Guihai;  Lu, Wenyan;  Zhang, Xuan;  Liu, Ke
收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10
Resilience  Energy consumption  Approximate computing  Collaboration  Computational modeling  Artificial neural networks  Optimization  Neural network  Energy efficient computing  Network pruning  Approximate computing  
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference 期刊论文
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 卷号: 8, 期号: 4, 页码: 810-821
作者:  He, Xin;  Lu, Wenyan;  Yan, Guihai;  Zhang, Xuan
收藏  |  浏览/下载：229/0  |  提交时间：2019/04/03
Approximate computing  neural network accelerator  hardware-oriented training  sensitivity analysis  energy efficient architecture  near threshold voltage  approximate multiplier  
An Evolutionary Technique for Performance-Energy-Temperature Optimized Scheduling of Parallel Tasks on Multi-Core Processors 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 3, 页码: 668-681
作者:  Sheikh, Hafiz Fahad;  Ahmad, Ishfaq;  Fan, Dongrui
收藏  |  浏览/下载：38/0  |  提交时间：2019/12/13
Energy-efficient computing  thermal-efficient computing  task allocation  evolutionary algorithms  task graphs  static scheduling  
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2015, 卷号: 34, 期号: 8, 页码: 1223-1235
作者:  Du, Zidong;  Lingamneni, Avinash;  Chen, Yunji;  Palem, Krishna V.;  Temam, Olivier;  Wu, Chengyong
收藏  |  浏览/下载：54/0  |  提交时间：2019/12/13
Accelerator architectures  energy efficient  hardware neuron network  inexact computing