Lipeng Wan

54 papers A* 1A 12B 8C 3Misc 1Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression.
Proc. VLDB Endow.
Ning Yan, Sheng Di, Kai Zhao, Lipeng Wan
2025 J jnl
HPC I/O innovations in the exascale era.
Int. J. High Perform. Comput. Appl.
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Junmin Gu, Vicente Bolea, Liz Dulac, Dmitry Ganyushin, William F. Godoy, Qing Liu, Caitlin Ross, Lipeng Wan, Scott Wittenburg, Kesheng Wu
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
LegoIndex: A Scalable and Modular Indexing Framework for Efficient Analysis of Extreme-Scale Particle Data.
HPDC
Chang Guo, Ning Yan, Lipeng Wan, Zhichao Cao
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 — conf
Revisiting Erasure Codes: A Configuration Perspective.
HotStorage
Runzhou Han, Chao Shi, Tabassum Mahmud, Zeren Yang, Vladislav Esaulov, Lipeng Wan, Yong Chen, Jim Wayda, Matthew Wolf, Mai Zheng
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 B conf
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching.
MASCOTS
Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
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 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 C conf
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
CLUSTER
Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
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 A conf
P-ckpt: Coordinated Prioritized Checkpointing.
IPDPS
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
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
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl.
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
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
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
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
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 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
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
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 B conf
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
SMC
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
2021 J jnl
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2.
CoRR
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
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
2020 J jnl
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
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
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
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 A conf
Orchestrating Fault Prediction with Live Migration and Checkpointing.
HPDC
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
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
2018 A conf
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
ICDCS
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
2018 J jnl
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.
IEEE Trans. Veh. Technol.
Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao
2017 — conf
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.
HPCC/SmartCity/DSS
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017 J jnl
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.
Ad Hoc Networks
Qing Cao, Yunhe Feng, Zheng Lu, Hairong Qi, Leon M. Tolbert, Lipeng Wan, Zhibo Wang, Wenjun Zhou
2017 A conf
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.
ICDCS
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017 A conf
Exacution: Enhancing Scientific Data Management for Exascale.
ICDCS
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
2017 C conf
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
CLUSTER
Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck
2017 J jnl
Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems.
J. Parallel Distributed Comput.
Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral
2017 J jnl
Optimizing the performance of sensor network programs through estimation-based code profiling.
Pervasive Mob. Comput.
Lipeng Wan, Qing Cao, Wenjun Zhou
2015 A conf
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems.
SC
Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao
2015 B conf
Estimation-based profiling for code placement optimization in sensor network programs.
ISPASS
Lipeng Wan, Qing Cao, Wenjun Zhou
2014 Misc conf
SSD-optimized workload placement with adaptive learning and classification in HPC environments.
MSST
Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley W. Settlemyer
2014 — conf
Towards approximate spatial queries for large-scale vehicle networks.
SIGSPATIAL/GIS
Lipeng Wan, Zhibo Wang, Zheng Lu, Hairong Qi, Wenjun Zhou, Qing Cao
2013 B conf
Towards Instruction Level Record and Replay of Sensor Network Applications.
MASCOTS
Lipeng Wan, Qing Cao
2012 C conf
PhoneCon: Voice-driven SmartPhone Controllable Wireless Sensor Networks.
IPCCC
Yanjun Yao, Lipeng Wan, Qing Cao, Rukun Mao