副研究员/高级工程师

副研究员/高级工程师

路航

路航

  • 职称: 副研究员
  • 研究方向: 

    可定制计算

  • 导师类别: 硕士生导师
  • 电子邮件: luhang@ict.ac.cn
  • 个人主页: https://luhang-CCL.github.io

获奖及荣誉:

2018,中科院计算所优秀员工、计算机体系结构国家重点实验室优秀员工2015,亚洲太平洋地区设计自动化会议“最佳论文奖”提名(第一作者)2015,中国科学院“朱李月华优秀博士生奖”(全国政协委员、香港女性首富朱李月华女士亲切设宴接见的7名优秀博士生代表之一)2015,博士生国家奖学金提名2015,中国科学院计算技术研究所“所长特别奖”

代表论著:

“Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration”, Hang Lu (路航), Liang Chang, Chenglong Li, Zixuan Zhu, Shengjian Lu, Yanhuan Liu, Mingzhe Zhang, IEEE/ACM 54th International Symposium on Microarchitecture (MICRO, CCF A类),2021. "Streamline Ring ORAM Accesses through Spatial and Temporal Optimization”, Dingyuan Cao, Mingzhe Zhang, Hang Lu (路航), Xiaochun Ye, Dongrui Fan, Yuezhi Che, Rujia Wang, IEEE 27th International Symposium on High-Performance Computer Architecture (HPCA, CCF A类), 2021. “BitX: Empower Versatile Inference for Hardware Runtime Pruning”, Hongyan Li, Hang Lu* (路航), Jiawen Huang, Wenxu Wang, Mingzhe Zhang, Wei Chen, Liang Chang, Xiaowei Li, IEEE/ACM 50th International Conference on Parallel Processing (ICPP, CCF B类),2021. “Chaotic Weights: A Novel Approach to Protect Intellectual Property of Deep Neural Networks”, Ning Lin, Xiaoming Chen, Hang Lu (路航), Xiaowei Li, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A类), 2021. “Architecting Effectual Computation for Machine Learning Accelerators”, Hang Lu* (路航), Mingzhe Zhang, Yinhe Han, Qi Wang, Huawei Li, Xiaowei Li, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A类), 2020. “ShuttleNoC: Power-Adaptable Communication Infrastructure for Many-core Processors”, Hang Lu* (路航), Yisong Chang, Ning Lin, Xin Wei, Guihai Yan, Xiaowei Li, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A类), 2019. “HeadStart: Enforce Optimal Inceptions in Pruning Deep Convolutional Neural Networks for Efficient Inference on GPGPUs”, Ning Lin, Hang Lu* (路航), Xin Wei, Xiaowei Li, IEEE/ACM 56th International Design Automation Conference (DAC, CCF A类), 2019. “When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices”, Ning Lin, Hang Lu* (路航), Xing Hu, Jingliang Gao, Xiaowei Li, IEEE 37th International Conference on Computer Design (ICCD, CCF B类), 2019. “VNet: A Versatile Deep Neural Network Model for Efficient Semantic Segmentation”, Ning Lin, Hang Lu* (路航), Xiaowei Li, IEEE 37th International Conference on Computer Design (ICCD, CCF B类), 2019. “Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators”, Hang Lu* (路航), Xin Wei, Ning Lin, Guihai Yan, Xiaowei Li, IEEE/ACM 37th International Conference on Computer-Aided Design (ICCAD, CCF B类), 2018. “Redeeming Chip-level Power Efficiency by Collaborative Management of the Computation and Communication”, Ning Lin, Hang Lu* (路航), Xin Wei, Xiaowei Li, ACM 24th Asia and South Pacific Design Automation Conference (ASPDAC, CCF C类), 2018. “PowerTrader: Enforcing Autonomous Power Management for Large-scale Many-core Processors”, Hang Lu* (路航), Guihai Yan, Yinhe Han, Xiaowei Li, IEEE Transactions on Multi-scale Computing Systems (TMSCS), 2017. “RISO: Enforce Non-interfered Performance with Relaxed Network-on-Chip Isolation in Manycore Cloud Processors”, Hang Lu* (路航), Binzhang Fu, Ying Wang, Yinhe Han, Guihai Yan, Xiaowei Li, IEEE Transactions on Very Large Scale Integration Systems (TVLSI, CCF B类), 2015. “ShuttleNoC: Boosting On-chip Communication Efficiency Through Localized Power Adaptation”, Hang Lu* (路航), Guihai Yan, Yinhe Han, Ying Wang, Xiaowei Li, IEEE 20th Asia and South Pacific Design Automation Conference (ASPDAC, CCF C类,“最佳论文奖”提名), 2015. “RISO: Relaxed Networks-on-Chip Isolation for Cloud Processors”, Hang Lu* (路航), Guihai Yan, Yinhe Han, Binzhang Fu, Xiaowei Li, IEEE/ACM 50th International Design Automation Conference (DAC, CCF A类), 2013. 《多核处理器设计优化——低功耗、高可靠、易测试》,科学出版社,2021.李晓维、路航、李华伟、王颖、鄢贵海 著 《Customizable Computing,可定制计算》,机械工业出版社,2018.鄢贵海、叶靖、王颖、路航、卢文岩、李家军、吴靖雅 译,Yu-Ting Chen, Jason Cong, Michael Gill, Glenn Reinman, Bingjun Xiao 著

承担科研项目情况:

2021/09-2022/09:OPPO广东移动通信有限公司合作项目,基于端侧的轻量化图像增强技术研究,100万元 2021/10-2022/10:计算机体系结构国家重点实验室重点项目,航空电子系统的寿命预测和健康管理技术研究,30万元 2017/01-2020/01:国家自然科学基金,青年科学基金项目,61602442,众核处理器片上网络的功耗优化方法研究,20万元 2017/07-2019/07:江南计算技术研究所开放课题,众核处理器片上网络的功耗优化方法研究,10万元 2017/01-2018/01:计算机体系结构国家重点实验室自由探索项目,CARCH2603,众核处理器片上网络的功耗优化方法研究,5万元