The Homepage of Jieyang Chen

Jieyang Chen

Assistant Professor

Department of Computer Science
The University of Alabama at Birmingham
Birmingham, AL 35294

Full Publications List

Conference Papers:

PPoPP'23	Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi Bhuyan, Zizhong Chen. Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems, The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, Montreal, Canada. Feb 2023. Acceptance Rate: 23.7% (31/131)
SSDBM'22	Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky. Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition, the 34th Interna- tional Conference on Scientific and Statistical Database Management, Copenhagen, Denmark. Jul. 2022.
SMC'21	Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, St ́ephane Ethier, Seung-Hoe Ku, R Michael Churchill, C-S Chang, Mark Ainsworth, Ozan Tugluk, Todd Munson, David Pugmire, Richard Archibald, Scott Klasky. Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression, 2021 Smoky Mountains Computational Sciences and Engineering Conference, Virtual. Oct. 2021.
SC'21	Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky. Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition, Proceedings of the 33th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri. Nov. 2021.
ASE'21	Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, and Qiang Guan. BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications, 36th IEEE/ACM International Conference on Automated Software Engineering, Melbourne, Australia. Nov. 15-19, 2021.
ICPP'21	Chenhao Xie, Jieyang Chen, Jesun S. Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin Barker, Mark Raugas, and Ang Li. Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures, The 50th International Conference on Parallel Processing, Chicago, Illinois. Aug. 9-12, 2021.
IPDPS'21	Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, and Franck Cappello Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures, 35th IEEE International Parallel and Distributed Processing Symposium, Portland, Oregon. May 2021.
IPDPS'21	Huizhang Luo, Junqi Wangy, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement, 35th IEEE International Parallel and Distributed Processing Symposium, Portland, Oregon. May 2021.
IPDPS'21	Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd Munson, Ian Foster, Scott Klasky Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs, 35th IEEE International Parallel and Distributed Processing Symposium, Portland, Oregon. May 2021.
CUGC'20	Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Jieyang Chen, Norbert Podhorszki, Jeremy Logan, Kshitij Mehta, Scott Klasky, Dave Pugmire I/O Performance Characterization and Prediction through Machine Learning on HPC Systems, Cray User Group Conference, 2020.
ISLPED'20	Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding FTRANS: energy-efficient acceleration of transformers using FPGA, the ACM/IEEE International Symposium on Low Power Electronics and Design, Aug. 10 - 12, 2020.
SC'20	Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen Taming I/O Variation on QoS-Less HPC Storage: What Can Applications Do?, Proceedings of the 32nd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, Georgia. Nov. 2020.
SMC'19	David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, and Matthew Wolf Visualization as a Service for Scientific Data, Smoky Mountains Computational Science and Engineering Conference, 2020.
SC'19	Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen FT-iSort: Efficient Fault Tolerance for Introsort, Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 17 - 22, 2019. Acceptance Rate: 20.9% (72/344).
ICS'19	Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs, Proceedings of the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23.3% (45/193)
IISWC'18	Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan Tallent, Kevin Barker Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite, 2018 IEEEInternational Symposium on Workload Characterization, Sep 30-Oct 2, 2018, Raleigh, NC,USA.
BigData'18	Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen and James Ahrens Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere, Proceedings of the 2018 IEEE International Conference on Big Data, Seattle, WA, USA, Dec 10-13, 2018. Full Paper. Acceptance Rate: 18.9% (98/518).
SC'18	Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, and Zizhong Chen Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs, Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, Nov 11 - 16, 2018. Acceptance Rate: 19.1% (55/288).
ICDCS'18	Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis Vernon, Allen Mcpherson, Li-Ta Lo, Zizhong Chen, Patricia Grubel, and James Ahrens BeeFlow : a Workflow Management System for In situ Processing Across HPC and Cloud Systems, Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, Vienna, Austria, July 2-5, 2018. Acceptance Rate: 20.6% (78/378).
SC'17	Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, and Zizhong Chen Correcting Soft Errors Online in Fast Fourier Transform, Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 12 - 17, 2017. Acceptance Rate: 18.6% (61/327).
PPoPP'17	Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Ouyang Kaiming, Sihuan Li, and Zizhong Chen Silent Data Corruption Resilient Two-sided Matrix Factorizations, Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, Texas, USA, February 4-8 2017. Acceptance Rate: 21.9% (29/132).
SC'16	Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, and Zizhong Chen GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing, Proceedings of the 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, USA, Nov 13 - 18, 2016. Acceptance Rate: 18.4% (82/446). *Authors contributed equally.
HPDC'16	Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, and Zizhong Chen Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra, Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129).
IPDPS'16	Jieyang Chen, Xin Liang, and Zizhong Chen Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs, Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium, Chicago, Illinois, USA, May 23-27, 2016. Acceptance Rate: 22.98% (114/496).
HPCC'15	Teresa Davies, Xin Liang, Jieyang Chen, and Zizhong Chen Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes, Proceedings of the 2015 IEEE 17th International Conference on High Performance Computing and Communications New York, USA, August 24 - 26, 2015.
FCST'15	Jieyang Chen, and Zizhong Chen Cholesky Factorization on Heterogeneous CPU and GPU Systems, th IEEE International Conference on Foundations of Computer Science& Technology (FCST), Dailian, China, August 26 - 28, 2015.

Workshop Papers:

DRBSD'21	Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression, 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, St. Louis, Missouri. Nov. 2021.
ICPPW'20	Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian Foster, Scott Klasky, Todd Munson Feature-preserving Lossy Compression for In Situ Data Analysis, 49th Interna- tional Conference on Parallel Processing-ICPP: Workshops, Edmonton, AB, Canada. Aug. 17-20, 2020.
DRBSD'19	Jieyang Chen, David Pugmire, Matthew Wolf, Nicholas Thompson, Jeremy Logan,Kshitij Mehta, Lipeng Wan, Jong Youl Choi, Ben Whitney, Scott Klasky A Understanding Performance-Quality Trade-offs inScientific Visualization Workflows with LossyCompression, The 5th International Workshop on Data Reduction for Big Scientific Data.
DRBSD'19	Jong Youl Choi, Jeremy Logan, Kshitij Mehta,Eric Suchyta, William Godoy, Nicholas Thompson, Lipeng Wan, Jieyang Chen, Norbert Podhorszki, Matthew Wolf, Scott Klasky, Julien Dominski and Choong-Seock Chang A Co-Design Study Of Fusion Whole DeviceModeling Using Code Coupling, The 5th International Workshop on Data Reduction for Big Scientific Data.
DSN'19	Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications, the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019).

Journal Papers:

TPDS	Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Pod- horszki, James Kress, David Pugmire, Scott Klasky. Understanding the Impact of Data Staging for Coupled Scientific Workflows, IEEE Transactions on Parallel and Distributed Systems. Accept date: 2022.
TPDS	Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki. zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Com- pression Ratio for Adaptive Mesh Refinement, IEEE Transactions on Parallel and Distributed Systems. Accept date: 2022.
TPDS	Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd Munson, Ian Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky. Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization, IEEE Transactions on Parallel and Distributed Systems. Accept date: 2021.
TC	Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, Dave Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky. MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction, IEEE Transactions on Computers. Accept date: 2021.
TPDS	Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Zizhong Chen, and Franck Cappello. FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks, IEEE TPDS Special Section on Parallel and Distributed Computing Techniques for AI/ML/DL. Accept date: 2021.
JPDC	Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao. TSM2X: High-performance tall-and-skinny matrix–matrix multiplication on GPUs, Elsevier Journal of Parallel and Distributed Computing. Accept date: 2021.
LC	Zhenlu Qin, Jinzhen Wang, Qing Liu, Jieyang Chen, Dave Pugmire, Norbert Podhorszki, Scott Klasky. Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks, IEEE Letters of the Computer Society. Accept date: 2020.
Data Engineering	Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William Godoy, Mark Kim, Tahsin Kurc, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorzski, David Pugmire, Eric Suchyta, Nicolas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky. Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale, IEEE The Bulletin of the Technical Committee on Data Engineering. Accept date: 2020.
TPDS	Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan Tallent, Kevin Barker Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitchand GPUDirect, IEEE Transactions on Parallel and Distributed Systems (TPDS) Accept date: June 2019.

Last update: Nov. 18, 2023