Xin Liang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 94

Top Topics

Lossy Compression

Fault Tolerance

Top Venues

Publications

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2 (1) (2024)
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE (2024)
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
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR (2024)
Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS (2024)
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
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR (2024)
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR (2024)
Congrong Ren, Xin Liang, Hanqi Guo
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error. Comput. Graph. Forum 43 (3) (2024)
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. PPoPP (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR (2023)
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. CoRR (2023)
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE (2023)
Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC (2023)
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
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science (2023)
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS (2023)
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9 (2) (2023)
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
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24 (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. BigData (2023)
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR (2023)
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC (2023)
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC (2023)
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. CoRR (2022)
Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Proc. VLDB Endow. 16 (4) (2022)
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
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC (2022)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71 (7) (2022)
Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE (2022)
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. SSDBM (2022)
Arindam Khanda, Sanjukta Bhowmick, Xin Liang, Sajal K. Das
Parallel Vertex Color Update on Large Dynamic Networks. HIPC (2022)
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC (2022)
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC (2022)
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
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC (2021)
Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData (2021)
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR (2021)
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
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
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. SC (2021)
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER (2021)
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR (2021)
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS (2021)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27 (8) (2021)
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
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
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
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR (2021)
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER (2021)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR (2021)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Resilient error-bounded lossy compressor for data transfer. SC (2021)
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR (2021)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData (2020)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER (2020)
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR (2020)
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR (2020)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR (2020)
Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. PPoPP (2020)
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR (2020)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
SDC Resilient Error-bounded Lossy Compressor. CoRR (2020)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR (2020)
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT (2020)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC (2020)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2020)
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
Visualization as a Service for Scientific Data. SMC (2020)
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis (2020)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER (2019)
Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
FT-iSort: efficient fault tolerance for introsort. SC (2019)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. HPDC (2019)
Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. IEEE Trans. Parallel Distributed Syst. 30 (2) (2019)
Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. ICS (2019)
Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong
Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. CoRR (2019)
Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC (2019)
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData (2018)
Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. SC (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Improving performance of iterative methods by lossy checkponting. HPDC (2018)
Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR (2018)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData (2018)
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
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR (2018)
Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. CLUSTER (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Fixed-PSNR Lossy Compression for Scientific Data. CoRR (2018)
Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir Mironov, Xin Liang, Franck Cappello
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER (2018)
Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR (2017)
Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen
Silent Data Corruption Resilient Two-sided Matrix Factorizations. PPOPP (2017)
Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen
Correcting soft errors online in fast fourier transform. SC (2017)
Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC (2016)
Jieyang Chen, Xin Liang, Zizhong Chen
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs. IPDPS (2016)
Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. HPDC (2016)
Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. HPDC (2016)
Teresa Davies, Xin Liang, Jieyang Chen, Zizhong Chen
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes. HPCC/CSS/ICESS (2015)