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General Purpose Deep Learning Accelerator Based on Bit Interleaving 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1470-1483
作者:  Chang, Liang;  Lu, Hang;  Li, Chenglong;  Zhao, Xin;  Hu, Zhicheng;  Zhou, Jun;  Li, Xiaowei
收藏  |  浏览/下载:4/0  |  提交时间:2024/12/06
Synchronization  Parallel processing  Computational modeling  Training  Pragmatics  Power demand  Hardware acceleration  Accelerator  bit-level sparsity  deep neural network (DNN)  
Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397
作者:  Hu, Cheng;  Deng, Yuhui;  Yang, Laurence T.;  Zhao, Yufan
收藏  |  浏览/下载:44/0  |  提交时间:2021/12/01
Estimation  Servers  Linear regression  Quality of service  Computational modeling  Analytical models  Task analysis  Resource demand estimation  linear regression  power-aware cluster  QoS  SLA  
Computing power of Turing machines in the framework of unsharp quantum logic 期刊论文
THEORETICAL COMPUTER SCIENCE, 2015, 卷号: 598, 页码: 2-14
作者:  Shang, Yun;  Lu, Xian;  Lu, Raqian
收藏  |  浏览/下载:42/0  |  提交时间:2019/12/13
Turing machines  Unsharp quantum logic  Computational power