中国科学院计算技术研究所机构知识库

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限定条件	出处：IEEE TRANSACTIONS ON COMPUTERS

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Performance Optimization of Many-Core Systems by Exploiting Task Migration and Dark Core Allocation 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 92-106 作者:  Wen, Shengyan;  Wang, Xiaohang;  Singh, Amit Kumar;  Jiang, Yingtao;  Yang, Mei 收藏  |  浏览/下载：28/0  |  提交时间：2022/06/21 Task analysis  Heuristic algorithms  Resource management  Runtime  System performance  Heating systems  Thermal management  Task migration  many-core  dynamic resource allocation  dark cores
	Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222 作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji 收藏  |  浏览/下载：32/0  |  提交时间：2022/06/21 Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall
	On Performance Optimization and Quality Control for Approximate-Communication-Enabled Networks-on-Chip 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2021, 卷号: 70, 期号: 11, 页码: 1817-1830 作者:  Xiao, Siyuan;  Wang, Xiaohang;  Palesi, Maurizio;  Singh, Amit Kumar;  Wang, Liang;  Mak, Terrence 收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01 Optimization  Quality control  Approximate computing  System performance  Power demand  Measurement  Runtime  Approximate computing  many-core system  networks-on-chip
	Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 11, 页码: 1596-1610 作者:  Cai, Yi;  Chen, Xiaoming;  Tian, Lu;  Wang, Yu;  Yang, Huazhong 收藏  |  浏览/下载：318/0  |  提交时间：2020/12/10 Artificial neural networks  Nonvolatile memory  Encryption  Computational modeling  Hardware  Non-volatile memory (NVM)  compute-in-memory (CIM)  neural network  security  encryption
	An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2016, 卷号: 65, 期号: 2, 页码: 367-381 作者:  Ma, Jun;  Yan, Guihai;  Han, Yinhe;  Li, Xiaowei 收藏  |  浏览/下载：36/0  |  提交时间：2019/12/13 Heterogeneous manycores  scale-out  scale-up  analytical model  power efficiency  runtime management