Cholesky Factorization on Heterogeneous CPU and GPU Systems. - Jieyang Chen; Zizhong Chen (FCST, 2015)

Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes. - Teresa Davies; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPCC/CSS/ICESS, 2015)

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. - Panruo Wu; Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Dingwen Tao; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPDC, 2016)

Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs. - Jieyang Chen; Xin Liang 001; Zizhong Chen (IPDPS, 2016)

GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs. - Jieyang Chen; Sihuan Li; Zizhong Chen (NAS, 2016)

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. - Jieyang Chen; Li Tan; Panruo Wu; Dingwen Tao; Hongbo Li 006; Xin Liang 001; Sihuan Li; Rong Ge 002; Laxmi N. Bhuyan; Zizhong Chen (SC, 2016)

Silent Data Corruption Resilient Two-sided Matrix Factorizations. - Panruo Wu; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Jieyang Chen; Dingwen Tao; Xin Liang 001; Kaiming Ouyang; Zizhong Chen (PPoPP, 2017)

Correcting soft errors online in fast fourier transform. - Xin Liang 001; Jieyang Chen; Dingwen Tao; Sihuan Li; Panruo Wu; Hongbo Li 006; Kaiming Ouyang; Yuanlai Liu; Fengguang Song; Zizhong Chen (SC, 2017)

Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Zizhong Chen; James Paul Ahrens (CoRR, 2017)

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. - Jieyang Chen; Qiang Guan; Xin Liang 001; Paul Bryant; Patricia Grubel; Allen McPherson; Li-Ta Lo; Timothy Randles; Zizhong Chen; James Paul Ahrens (IEEE BigData, 2018)

BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. - Jieyang Chen; Qiang Guan; Zhao Zhang 007; Xin Liang 001; Louis James Vernon; Allen McPherson; Li-Ta Lo; Patricia Grubel; Tim Randles; Zizhong Chen; James P. Ahrens (ICDCS, 2018)

Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. - Ang Li 006; Shuaiwen Leon Song; Jieyang Chen; Xu Liu 001; Nathan R. Tallent; Kevin J. Barker (IISWC, 2018)

Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. - Jieyang Chen; Hongbo Li 006; Sihuan Li; Xin Liang 001; Panruo Wu; Dingwen Tao; Kaiming Ouyang; Yuanlai Liu; Kai Zhao 008; Qiang Guan; Zizhong Chen (SC, 2018)

Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. - Bo Fang 002; Jieyang Chen; Karthik Pattabiraman; Matei Ripeanu; Sriram Krishnamoorthy (DSN (Supplements), 2019)

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. - Jieyang Chen; Nan Xiong; Xin Liang 001; Dingwen Tao; Sihuan Li; Kaiming Ouyang; Kai Zhao 008; Nathan DeBardeleben; Qiang Guan; Zizhong Chen (ICS, 2019)

FT-iSort: efficient fault tolerance for introsort. - Sihuan Li; Hongbo Li 006; Xin Liang 001; Jieyang Chen; Elisabeth Giem; Kaiming Ouyang; Kai Zhao 008; Sheng Di; Franck Cappello; Zizhong Chen (SC, 2019)

Fault Tolerant and Energy Efficient One-Sided Matrix Decompositions on Heterogeneous Systems with GPUs. - Jieyang Chen (2019)

Feature-preserving Lossy Compression for In Situ Data Analysis. - Igor Yakushin; Kshitij Mehta; Jieyang Chen; Matthew Wolf; Ian T. Foster; Scott Klasky; Todd S. Munson (ICPP Workshops, 2020)

FTRANS: energy-efficient acceleration of transformers using FPGA. - Bingbing Li; Santosh Pandey; Haowen Fang; Yanjun Lyv; Ji Li 006; Jieyang Chen; Mimi Xie; Lipeng Wan 001; Hang Liu 001; Caiwen Ding (ISLPED, 2020)

Taming I/O variation on QoS-less HPC storage: what can applications do? - Zhenbo Qiao; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Jieyang Chen (SC, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. - Cody Rivera; Jieyang Chen; Nan Xiong; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (CoRR, 2020)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Dave Pugmire; Nicholas Thompson; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (CoRR, 2020)

BeeSwarm: Enabling Scalability Tests in Continuous Integration. - Jieyang Chen; Qiang Guan; Li-Ta Lo; Patricia Grubel; Tim Randles (CoRR, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (CoRR, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 2020)

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. - Ang Li 006; Shuaiwen Leon Song; Jieyang Chen; Jiajia Li 001; Xu Liu 001; Nathan R. Tallent; Kevin J. Barker (IEEE Trans. Parallel Distributed Syst., 2020)

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. - Chenhao Xie 001; Jieyang Chen; Jesun Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (ICPP, 2021)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (IPDPS, 2021)

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. - Huizhang Luo; Junqi Wang 002; Qing Liu 002; Jieyang Chen; Scott Klasky; Norbert Podhorszki (IPDPS, 2021)

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. - Jiannan Tian; Cody Rivera; Sheng Di; Jieyang Chen; Xin Liang 001; Dingwen Tao; Franck Cappello (IPDPS, 2021)

BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications. - Jake Tronge; Jieyang Chen; Patricia Grubel; Tim Randles; Rusty Davis; Quincy Wofford; Steven Anaya; Qiang Guan (ASE, 2021)

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. - Xin Liang 001; Qian Gong; Jieyang Chen; Ben Whitney; Lipeng Wan 001; Qing Liu 002; David Pugmire; Rick Archibald; Norbert Podhorszki; Scott Klasky (SC, 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 2021)

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. - Qian Gong; Xin Liang 001; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan 001; Stéphane Ethier; Seung-Hoe Ku; Randy Michael Churchill; Choong-Seock Chang; Mark Ainsworth; Ozan Tugluk; et al. (SMC, 2021)

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Qian Gong; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; et al. (CoRR, 2021)

TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs. - Cody Rivera; Jieyang Chen; Nan Xiong; Jing Zhang; Shuaiwen Leon Song; Dingwen Tao (J. Parallel Distributed Comput., 2021)

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. - Qian Gong; Ben Whitney; Chengzhu Zhang; Xin Liang 001; Anand Rangarajan 001; Jieyang Chen; Lipeng Wan 001; Paul Ullrich; Qing Liu 002; Robert Jacob; Sanjay Ranka; Scott Klasky (SSDBM, 2022)

Message from the DRBSD-8 Workshop Chairs. - Jieyang Chen; Sheng Di; Ana Gainaru; Xin Liang 001; Todd S. Munson (DRBSD@SC, 2022)

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. - Jieyang Chen; Chenhao Xie 001; Jesun Sahariar Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (CoRR, 2022)

Scalable Hybrid Learning Techniques for Scientific Data Compression. - Tania Banerjee; Jong Choi 001; Jaemoon Lee; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2022)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 2022)

zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. - Huizhang Luo; Junqi Wang 002; Qing Liu 002; Jieyang Chen; Scott Klasky; Norbert Podhorszki (IEEE Trans. Parallel Distributed Syst., 2022)

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. - Lipeng Wan 001; Axel Huebl; Junmin Gu; Franz Poeschel; Ana Gainaru; Ruonan Wang; Jieyang Chen; Xin Liang 001; Dmitry Ganyushin; Todd S. Munson; Ian T. Foster; Jean-Luc Vay; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Choong-Seock Chang; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (e-Science, 2023)

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

FunMC2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices. - Zhe Wang 059; Tushar M. Athawale; Kenneth Moreland; Jieyang Chen; Chris R. Johnson 001; David Pugmire (EGPGV@EuroVis, 2023)

Fast Algorithms for Scientific Data Compression. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (HiPC, 2023)

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. - Andy Trinh; Shivam Sheth; Anil Gaihre; Caiwen Ding; Jieyang Chen; Feiyi Wang; David Pugmire; Scott Klasky; Hang Liu 001; Lipeng Wan 001 (HPCC/DSS/SmartCity/DependSys, 2023)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Lipeng Wan 001; Jieyang Chen; Xin Liang 001; Ana Gainaru; Qian Gong; Qing Liu 002; Ben Whitney; Joy Arulraj; Zhengchun Liu; Ian T. Foster; Scott Klasky (HPDC, 2023)

Accelerating k-Core Decomposition by a GPU. - Akhlaque Ahmad; Lyuheng Yuan; Da Yan 001; Guimu Guo; Jieyang Chen; Chengcui Zhang (ICDE, 2023)

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. - Jinzhen Wang; Xin Liang 001; Ben Whitney; Jieyang Chen; Qian Gong; Xubin He; Lipeng Wan 001; Scott Klasky; Norbert Podhorszki; Qing Liu 002 (ICDE, 2023)

Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. - Jieyang Chen; Xin Liang 001; Kai Zhao 008; Hadi Zamani Sabzi; Laxmi N. Bhuyan; Zizhong Chen (PPoPP, 2023)

GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems. - Hadi Zamani 001; Laxmi N. Bhuyan; Jieyang Chen; Zizhong Chen (ACM Trans. Parallel Comput., 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

A General Framework for Error-controlled Unstructured Scientific Data Compression. - Qian Gong; Zhe Wang 059; Viktor Reshniak; Xin Liang 001; Jieyang Chen; Qing Liu 002; Tushar M. Athawale; Yi Ju; Anand Rangarajan 001; Sanjay Ranka; Norbert Podhorszki; Rick Archibald; et al. (e-Science, 2024)

Accelerating In-transit Isosurface Generation With Topology Preserving Compression. - Yanliang Li; Jieyang Chen (e-Science, 2024)

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. - Xuan Wu; Qian Gong; Jieyang Chen; Qing Liu 002; Norbert Podhorszki; Xin Liang 001; Scott Klasky (SC, 2024)

Light-Weight Fault Tolerant Attention for Large Language Model Training. - Yuhang Liang; Xinyi Li; Jie Ren; Ang Li 006; Bo Fang 002; Jieyang Chen (CoRR, 2024)

An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications. - Jake Tronge; Jieyang Chen; Patricia Grubel; Tim Randles; Rusty Davis; Quincy Wofford; Steven Anaya; Qiang Guan (IEEE Trans. Serv. Comput., 2024)

HPDR: High-Performance Portable Scientific Data Reduction Framework. - Jieyang Chen; Qian Gong; Yanliang Li; Xin Liang 001; Lipeng Wan 001; Qing Liu 002; Norbert Podhorszki; Scott Klasky (IPDPS, 2025)

ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training. - Yuhang Liang; Xinyi Li; Jie Ren; Ang Li 006; Bo Fang 002; Jieyang Chen (PPoPP, 2025)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - 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; et al. (Int. J. High Perform. Comput. Appl., 2025)

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. - Yanliang Li; Wenbo Li; Qian Gong; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Xin Liang 001; Jieyang Chen (CoRR, 2025)

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows. - Vladislav Esaulov; Jieyang Chen; Norbert Podhorszki; Frédéric Suter; Scott Klasky; Anu G. Bourgeois; Lipeng Wan 001 (CoRR, 2025)