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ORCIDJie Shen 0003
Person information
- affiliation: National University of Defense Technology, College of Computer, Changsha, China
- affiliation (PhD 2015): Delft University of Technology, Parallel and Distributed Systems Group, The Netherlands
Other persons with the same name
- Jie Shen — disambiguation page
- Jie Shen 0001
![[0000-0002-4885-5732]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4885-5732")
— Purdue University, Department of Mathematics, West Lafayette, IN, USA (and 2 more) - Jie Shen 0004 — Hohai University, College of Computer and Information, Nanjing, China
- Jie Shen 0005 — Stevens Institute of Technology, Hoboken, NJ, USA (and 2 more)
- Jie Shen 0006 — East China University of Science and Technology, School of Pharmacy, Shanghai, China
- Jie Shen 0007 — Liaoning Normal University, School of Mathematics, Dalian, China
- Jie Shen 0008 — Imperial College London, UK
- Jie Shen 0009 — University of Michigan-Dearborn, USA
- Jie Shen 0010 — Rambus Inc., Sunnyvale, CA, USA (and 1 more)
- Jie Shen 0011 — Zhejiang University, Hangzhou, China
- Jie Shen 0012 — Shanghai Jiaotong University, China
- Jie Shen 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Jie Shen 0014 — Zhejiang University of Technology, Institute of Cyberspace Security, College of Information Engineering, Hangzhou, China
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2020 – today
- 2023
[j6]Jie Shen, Biao Long, Chun Huang:
A Quantitative Evaluation of Vector Transcendental Functions on ARMv8-Based Processors. J. Comput. Sci. Technol. 38(3): 686-701 (2023)- 2022
- [c14]Jie Shen, Biao Long, Chun Huang:
Optimizing Fast Trigonometric Functions on Modern CPUs. HPCC/DSS/SmartCity/DependSys 2022: 1022-1029 - 2021
- [c13]Xing Hu, Yang Zhang, Li Mao, Jie Shen, Zuocheng Xing:
A Noc Centric Low Overhead Multi-chip Interconnection Technology. HPCC/DSS/SmartCity/DependSys 2021: 603-610
2010 – 2019
- 2019
- [j5]Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang:
GARDENIA: A Graph Processing Benchmark Suite for Next-Generation Accelerators. ACM J. Emerg. Technol. Comput. Syst. 15(1): 9:1-9:13 (2019) - [c12]Yang Zhang, Jie Shen, Zhen Xu, Shikai Qiu, Xuhao Chen:
Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite. ISPA/BDCloud/SocialCom/SustainCom 2019: 1329-1339 - 2018
- [j4]Xiangke Liao, Kai Lu, Canqun Yang, Jin-wen Li, Yuan Yuan, Ming-che Lai, Libo Huang, Ping-jing Lu, Jianbin Fang, Jing Ren, Jie Shen:
Moving from exascale to zettascale computing: challenges and techniques. Frontiers Inf. Technol. Electron. Eng. 19(10): 1236-1244 (2018) - [j3]Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang:
Orchestrating parallel detection of strongly connected components on GPUs. Parallel Comput. 78: 101-114 (2018) - 2017
- [c11]Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang:
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs. PMAM@PPoPP 2017: 48-57 - [i1]Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang:
GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators. CoRR abs/1708.04567 (2017) - 2016
- [j2]Jie Shen, Ana Lucia Varbanescu, Yutong Lu, Peng Zou, Henk J. Sips:
Workload Partitioning for Accelerating Applications on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 27(9): 2766-2780 (2016) - [c10]Ana Lucia Varbanescu, Jie Shen:
Heterogeneous computing with accelerators: an overview with examples. FDL 2016: 1-8 - 2015
- [b1]Jie Shen:
Efficient High Performance Computing on Heterogeneous Platforms. Delft University of Technology, Netherlands, 2015 - [c9]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips:
Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms. CCGRID 2015: 709-712 - [c8]Jie Shen, Ana Lucia Varbanescu, Xavier Martorell, Henk J. Sips:
Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms. ICPP 2015: 560-569 - 2014
- [c7]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips:
Look before You Leap: Using the Right Hardware Resources to Accelerate Applications. HPCC/CSS/ICESS 2014: 383-391 - [c6]Jie Shen, Ana Lucia Varbanescu, Peng Zou, Yutong Lu, Henk J. Sips:
Improving performance by matching imbalanced workloads with heterogeneous platforms. ICS 2014: 241-250 - 2013
- [j1]Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu:
An application-centric evaluation of OpenCL on multi-core CPUs. Parallel Comput. 39(12): 834-850 (2013) - [c5]Jie Shen, Ana Lucia Varbanescu, Henk J. Sips, Michael Arntzen, Dick G. Simons:
Glinda: a framework for accelerating imbalanced applications on heterogeneous platforms. Conf. Computing Frontiers 2013: 14:1-14:10 - [c4]Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu:
Performance Traps in OpenCL for CPUs. PDP 2013: 38-45 - [c3]Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips:
ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. PDP 2013: 375-383 - 2012
- [c2]Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten:
Accelerating Cost Aggregation for Real-Time Stereo Matching. ICPADS 2012: 472-481 - [c1]Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu:
Performance Gaps between OpenMP and OpenCL for Multi-core CPUs. ICPP Workshops 2012: 116-125
Coauthor Index
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