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ORCIDLipeng Wan 0001
Person information
- affiliation: Georgia State University, Atlanta, GA, USA
- affiliation: Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN, USA
- affiliation (PhD 2016): University of Tennessee, Knoxville, TN, USA
Other persons with the same name
- Lipeng Wan — disambiguation page
- Lipeng Wan 0002 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China (and 2 more)
- Lipeng Wan 0003 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
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Journal Articles
- 2023
[j12]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: 101590 (2023)- 2022
- [j11]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:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j10]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): 1522-1536 (2022) - [j9]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): 878-890 (2022) - [j8]Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky:
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33(10): 4134-4147 (2022) - 2021
- [j7]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): 617-635 (2021) - 2020
- [j6]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:
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43(1): 35-46 (2020) - [j5]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:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - 2018
- [j4]Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao:
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Trans. Veh. Technol. 67(2): 1561-1569 (2018) - 2017
- [j3]Qing Cao, Yunhe Feng, Zheng Lu, Hairong Qi, Leon M. Tolbert, Lipeng Wan, Zhibo Wang, Wenjun Zhou:
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. Ad Hoc Networks 66: 52-63 (2017) - [j2]Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral:
Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems. J. Parallel Distributed Comput. 100: 16-29 (2017) - [j1]Lipeng Wan, Qing Cao, Wenjun Zhou:
Optimizing the performance of sensor network programs through estimation-based code profiling. Pervasive Mob. Comput. 42: 285-298 (2017)
Conference and Workshop Papers
- 2023
- [c27]Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan:
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER 2023: 49-59 - [c26]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: 1-10 - [c25]Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan:
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys 2023: 780-787 - [c24]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: 87-100 - [c23]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: 2727-2739 - [c22]Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang:
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS 2023: 1-4 - 2022
- [c21]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS 2022: 436-446 - [c20]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: 5:1-5:12 - 2021
- [c19]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: 859-868 - [c18]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. DRBSD@SC 2021: 26-32 - [c17]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: 88 - [c16]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: 22-39 - [c15]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:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - 2020
- [c14]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC 2020: 167-171 - [c13]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. ISLPED 2020: 175-180 - [c12]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: 157-174 - 2018
- [c11]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:
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS 2018: 1357-1368 - 2017
- [c10]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:
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER 2017: 563-571 - [c9]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS 2017: 1-9 - [c8]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS 2017: 1022-1031 - [c7]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:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937 - 2015
- [c6]Lipeng Wan, Qing Cao, Wenjun Zhou:
Estimation-based profiling for code placement optimization in sensor network programs. ISPASS 2015: 165-166 - [c5]Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao:
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. SC 2015: 75:1-75:12 - 2014
- [c4]Lipeng Wan, Zhibo Wang, Zheng Lu, Hairong Qi, Wenjun Zhou, Qing Cao:
Towards approximate spatial queries for large-scale vehicle networks. SIGSPATIAL/GIS 2014: 505-508 - [c3]Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley W. Settlemyer:
SSD-optimized workload placement with adaptive learning and classification in HPC environments. MSST 2014: 1-6 - 2013
- [c2]Lipeng Wan, Qing Cao:
Towards Instruction Level Record and Replay of Sensor Network Applications. MASCOTS 2013: 475-484 - 2012
- [c1]Yanjun Yao, Lipeng Wan, Qing Cao, Rukun Mao:
PhoneCon: Voice-driven SmartPhone Controllable Wireless Sensor Networks. IPCCC 2012: 440-447
Informal and Other Publications
- 2024
- [i8]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 abs/2401.03317 (2024) - [i7]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 abs/2401.05994 (2024) - 2021
- [i6]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 abs/2105.12764 (2021) - [i5]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:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i4]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 abs/2107.07108 (2021) - 2020
- [i3]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 abs/2007.04457 (2020) - [i2]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. CoRR abs/2007.08563 (2020) - [i1]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 abs/2010.05872 (2020)
Coauthor Index
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last updated on 2024-06-20 23:18 CEST by the dblp team
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