Jie Shen

According to our database, Jie Shen authored at least 22 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Quantitative Evaluation of Vector Transcendental Functions on ARMv8-Based Processors.

Jie Shen, Biao Long, Chun Huang

J. Comput. Sci. Technol., June, 2023

2022

Optimizing Fast Trigonometric Functions on Modern CPUs.

Jie Shen, Biao Long, Chun Huang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

A Noc Centric Low Overhead Multi-chip Interconnection Technology.

Xing Hu, Yang Zhang, Li Mao, Jie Shen, Zuocheng Xing

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2019

GARDENIA: A Graph Processing Benchmark Suite for Next-Generation Accelerators.

Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang

ACM J. Emerg. Technol. Comput. Syst., 2019

Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite.

Yang Zhang, Jie Shen, Zhen Xu, Shikai Qiu, Xuhao Chen

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

Orchestrating parallel detection of strongly connected components on GPUs.

Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang

Parallel Comput., 2018

Moving from exascale to zettascale computing: challenges and techniques.

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

Frontiers Inf. Technol. Electron. Eng., 2018

2017

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators.

Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang

CoRR, 2017

High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs.

Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang

Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, 2017

2016

Workload Partitioning for Accelerating Applications on Heterogeneous Platforms.

Jie Shen, Ana Lucia Varbanescu, Yutong Lu, Peng Zou, Henk J. Sips

IEEE Trans. Parallel Distributed Syst., 2016

Heterogeneous computing with accelerators: an overview with examples.

Ana Lucia Varbanescu, Jie Shen

Proceedings of the 2016 Forum on Specification and Design Languages, 2016

2015

Efficient High Performance Computing on Heterogeneous Platforms.

Jie Shen

PhD thesis, 2015

Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms.

Jie Shen, Ana Lucia Varbanescu, Xavier Martorell, Henk J. Sips

Proceedings of the 44th International Conference on Parallel Processing, 2015

Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms.

Jie Shen, Ana Lucia Varbanescu, Henk J. Sips

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014

Improving performance by matching imbalanced workloads with heterogeneous platforms.

Jie Shen, Ana Lucia Varbanescu, Peng Zou, Yutong Lu, Henk J. Sips

Proceedings of the 2014 International Conference on Supercomputing, 2014

Look before You Leap: Using the Right Hardware Resources to Accelerate Applications.

Jie Shen, Ana Lucia Varbanescu, Henk J. Sips

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2013

An application-centric evaluation of OpenCL on multi-core CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Parallel Comput., 2013

Performance Traps in OpenCL for CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Proceedings of the 21st Euromicro International Conference on Parallel, 2013

ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels.

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips

Proceedings of the 21st Euromicro International Conference on Parallel, 2013

Glinda: a framework for accelerating imbalanced applications on heterogeneous platforms.

Jie Shen, Ana Lucia Varbanescu, Henk J. Sips, Michael Arntzen, Dick G. Simons

Proceedings of the Computing Frontiers Conference, 2013

2012

Performance Gaps between OpenMP and OpenCL for Multi-core CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Accelerating Cost Aggregation for Real-Time Stereo Matching.

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012