Jieyang Chen - RankMe

83 papers A* 3A 19B 11Misc 1Journal 37Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. IEEE Trans. Parallel Distributed Syst. Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2025	B	`conf`	ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training. PPoPP Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2025	A	`conf`	HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. SC Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025	J	`jnl`	HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. CoRR Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025	A	`conf`	HPDR: High-Performance Portable Scientific Data Reduction Framework. IPDPS Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025	J	`jnl`	HPDR: High-Performance Portable Scientific Data Reduction Framework. CoRR Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025	J	`jnl`	JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows. CoRR Vladislav Esaulov, Jieyang Chen, Norbert Podhorszki, Frédéric Suter, Scott Klasky, Anu G. Bourgeois, Lipeng Wan
2025	A	`conf`	Stability-preserving Lossy Compression for Large-scale Partial Differential Equations. SC Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2025	J	`jnl`	The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2024	B	`conf`	A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024	B	`conf`	Accelerating In-transit Isosurface Generation With Topology Preserving Compression. e-Science Yanliang Li, Jieyang Chen
2024	J	`jnl`	Accelerating In-transit Isosurface Generation With Topology Preserving Compression. CoRR Yanliang Li, Jieyang Chen
2024	J	`jnl`	An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications. IEEE Trans. Serv. Comput. Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan
2024	A	`conf`	Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. SC Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024	J	`jnl`	Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. CoRR Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024	J	`jnl`	Light-Weight Fault Tolerant Attention for Large Language Model Training. CoRR Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2024	J	`jnl`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024	J	`jnl`	Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2023	A*	`conf`	Accelerating k-Core Decomposition by a GPU. ICDE Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang
2023	Misc	`conf`	Fast Algorithms for Scientific Data Compression. HiPC Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023	—	`conf`	FunMC EGPGV@EuroVis Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire
2023	J	`jnl`	GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems. ACM Trans. Parallel Comput. Hadi Zamani, Laxmi N. Bhuyan, Jieyang Chen, Zizhong Chen
2023	B	`conf`	Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. PPoPP Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023	J	`jnl`	Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. CoRR Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023	A*	`conf`	Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
2023	J	`jnl`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023	B	`conf`	Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023	A	`conf`	RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023	B	`conf`	Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2023	—	`conf`	Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
2022	J	`jnl`	Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2022	J	`jnl`	MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2022	J	`jnl`	MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2022	—	`conf`	Message from the DRBSD-8 Workshop Chairs. DRBSD@SC Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
2022	B	`conf`	Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
2022	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
2022	J	`jnl`	zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IEEE Trans. Parallel Distributed Syst. Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
2021	A	`conf`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021	A*	`conf`	BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications. ASE Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan
2021	A	`conf`	Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2021	J	`jnl`	FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2021	B	`conf`	Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. ICPP Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2021	J	`jnl`	Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2021	B	`conf`	Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
2021	A	`conf`	Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2021	J	`jnl`	Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021	J	`jnl`	TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs. J. Parallel Distributed Comput. Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao
2021	—	`conf`	Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2021	A	`conf`	zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IPDPS Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
2020	J	`jnl`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2020	J	`jnl`	Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2020	J	`jnl`	BeeSwarm: Enabling Scalability Tests in Continuous Integration. CoRR Jieyang Chen, Qiang Guan, Li-Ta Lo, Patricia Grubel, Tim Randles
2020	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2020	J	`jnl`	Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
2020	J	`jnl`	FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
2020	A	`conf`	FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
2020	J	`jnl`	Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. CoRR Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2020	—	`conf`	Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson
2020	J	`jnl`	ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. CoRR Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, Dingwen Tao
2020	J	`jnl`	MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2020	J	`jnl`	Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2020	A	`conf`	Taming I/O variation on QoS-less HPC storage: what can applications do? SC Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen
2020	B	`conf`	Visualization as a Service for Scientific Data. SMC 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, Matthew Wolf
2019	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2019	A	`conf`	FT-iSort: efficient fault tolerance for introsort. SC Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
2019	—	`—`	Fault Tolerant and Energy Efficient One-Sided Matrix Decompositions on Heterogeneous Systems with GPUs. Jieyang Chen
2019	A	`conf`	TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. ICS Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
2019	—	`conf`	Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. DSN (Supplements) Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
2018	A	`conf`	BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
2018	—	`conf`	Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
2018	A	`conf`	Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. SC Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
2018	—	`conf`	Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2017	A	`conf`	Correcting soft errors online in fast fourier transform. SC Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen
2017	J	`jnl`	Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens
2017	B	`conf`	Silent Data Corruption Resilient Two-sided Matrix Factorizations. PPoPP Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen
2016	—	`conf`	GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs. NAS Jieyang Chen, Sihuan Li, Zizhong Chen
2016	A	`conf`	GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen
2016	A	`conf`	Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs. IPDPS Jieyang Chen, Xin Liang, Zizhong Chen
2016	A	`conf`	Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. HPDC Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen
2015	—	`conf`	Cholesky Factorization on Heterogeneous CPU and GPU Systems. FCST Jieyang Chen, Zizhong Chen
2015	—	`conf`	Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes. HPCC/CSS/ICESS Teresa Davies, Xin Liang, Jieyang Chen, Zizhong Chen