Jie Shen

23 papers A 1B 3C 3Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
An empirical study of error-free transformations for enhancing mathematical function precision.
CCF Trans. High Perform. Comput.
Dongting Chen, Jie Shen, Chun Huang, Xin Yi
2023 J jnl
A Quantitative Evaluation of Vector Transcendental Functions on ARMv8-Based Processors.
J. Comput. Sci. Technol.
Jie Shen, Biao Long, Chun Huang
2022 — conf
Optimizing Fast Trigonometric Functions on Modern CPUs.
HPCC/DSS/SmartCity/DependSys
Jie Shen, Biao Long, Chun Huang
2021 — conf
A Noc Centric Low Overhead Multi-chip Interconnection Technology.
HPCC/DSS/SmartCity/DependSys
Xing Hu, Yang Zhang, Li Mao, Jie Shen, Zuocheng Xing
2019 — conf
Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite.
ISPA/BDCloud/SocialCom/SustainCom
Yang Zhang, Jie Shen, Zhen Xu, Shikai Qiu, Xuhao Chen
2019 J jnl
GARDENIA: A Graph Processing Benchmark Suite for Next-Generation Accelerators.
ACM J. Emerg. Technol. Comput. Syst.
Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang
2018 J jnl
Moving from exascale to zettascale computing: challenges and techniques.
Frontiers Inf. Technol. Electron. Eng.
Xiangke Liao, Kai Lu, Canqun Yang, Jin-wen Li, Yuan Yuan, Ming-Che Lai, Libo Huang, Pingjing Lu, Jianbin Fang, Jing Ren, Jie Shen
2018 J jnl
Orchestrating parallel detection of strongly connected components on GPUs.
Parallel Comput.
Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang
2017 J jnl
GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators.
CoRR
Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang
2017 — conf
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs.
PMAM@PPoPP
Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang
2016 C conf
Heterogeneous computing with accelerators: an overview with examples.
FDL
Ana Lucia Varbanescu, Jie Shen
2016 J jnl
Workload Partitioning for Accelerating Applications on Heterogeneous Platforms.
IEEE Trans. Parallel Distributed Syst.
Jie Shen, Ana Lucia Varbanescu, Yutong Lu, Peng Zou, Henk J. Sips
2015 — —
Efficient High Performance Computing on Heterogeneous Platforms.
Jie Shen
2015 B conf
Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms.
CCGRID
Jie Shen, Ana Lucia Varbanescu, Henk J. Sips
2015 B conf
Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms.
ICPP
Jie Shen, Ana Lucia Varbanescu, Xavier Martorell, Henk J. Sips
2014 A conf
Improving performance by matching imbalanced workloads with heterogeneous platforms.
ICS
Jie Shen, Ana Lucia Varbanescu, Peng Zou, Yutong Lu, Henk J. Sips
2014 — conf
Look before You Leap: Using the Right Hardware Resources to Accelerate Applications.
HPCC/CSS/ICESS
Jie Shen, Ana Lucia Varbanescu, Henk J. Sips
2013 J jnl
An application-centric evaluation of OpenCL on multi-core CPUs.
Parallel Comput.
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2013 C conf
ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels.
PDP
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips
2013 — conf
Glinda: a framework for accelerating imbalanced applications on heterogeneous platforms.
Conf. Computing Frontiers
Jie Shen, Ana Lucia Varbanescu, Henk J. Sips, Michael Arntzen, Dick G. Simons
2013 C conf
Performance Traps in OpenCL for CPUs.
PDP
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2012 B conf
Accelerating Cost Aggregation for Real-Time Stereo Matching.
ICPADS
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten
2012 — conf
Performance Gaps between OpenMP and OpenCL for Multi-core CPUs.
ICPP Workshops
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu