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ORCIDQing Liu 0002
Person information
- affiliation: New Jersey Institute of Technology, Department of Electrical and Computer Engineering, NJ, USA
- affiliation: Oak Ridge National Laboratory, Computer Science and Mathematics Division, TN, USA
- affiliation (PhD 2008): University of New Mexico, ECE Department, Albuquerque, NM, USA
- affiliation (former): Tennessee Tech University, ECE Department, Cookeville, TN, USA
Other persons with the same name
- Qing Liu — disambiguation page
- Qing Liu 0001
![[0000-0001-7895-9551]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7895-9551")
— CSIRO, Data61/Intelligent Sensing and Systems Lab/Tasmanian ICT Centre, Australia (and 1 more) - Qing Liu 0003 — Central South University, School of Information Science and Engineering, Changsha, China
- Qing Liu 0004 — Xiamen University, School of Informatics, Xiamen, China (and 1 more)
- Qing Liu 0005 — Nanyang Technological University, Temasek Laboratories, Singapore
- Qing Liu 0006 — Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Qing Liu 0007 — Huazhong University of Science and Technology, Division of Data Storage System, School of Computer Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Qing Liu 0008 — Zhejiang University, College of Computer Science, Hangzhou, China
- Qing Liu 0009 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Qing Liu 0010 — Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China (and 1 more)
- Qing Liu 0011 — Nanchang University, Department of Computer Science, Nanchang, China (and 1 more)
- Qing Liu 0012 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Qing Liu 0013 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, Beijing, China
- Qing Liu 0014 — University of Tokyo, Graduate School of Mathematical Sciences, Tokyo, Japan
- Qing Liu 0015 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Qing Liu 0016 — PLA Strategic Support Information Engineering University, Zhengzhou, China
- Qing Liu 0017 — Johns Hopkins University, Baltimore, MD, USA
- Qing Liu 0018 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
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2020 – today
- 2024
[i4]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)- 2023
- [j30]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) - [j29]Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He:
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. IEEE Trans. Big Data 9(1): 22-36 (2023) - [j28]Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, Mengchu Zhou, Hong Jiang:
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. IEEE Trans. Big Data 9(3): 949-963 (2023) - [j27]Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He:
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression. IEEE Trans. Computers 72(9): 2641-2655 (2023) - [j26]Wenjie Liu, Xubin He, Qing Liu:
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems. IEEE Trans. Parallel Distributed Syst. 34(3): 797-809 (2023) - [c55]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 - [c54]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 - 2022
- [j25]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) - [j24]Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He:
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression. J. Netw. Comput. Appl. 205: 103452 (2022) - [j23]Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
Identifying challenges and opportunities of in-memory computing on large HPC systems. J. Parallel Distributed Comput. 164: 106-122 (2022) - [j22]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) - [j21]Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki:
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IEEE Trans. Parallel Distributed Syst. 33(12): 3702-3717 (2022) - [c53]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
- [j20]Haitao Yuan, Jing Bi, MengChu Zhou, Qing Liu, Ahmed Chiheb Ammari:
Biobjective Task Scheduling for Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 18(2): 731-742 (2021) - [j19]Dan Huang, Jun Wang, Qing Liu, Nong Xiao, Huafeng Wu, Jiangling Yin:
Enhancing Proportional IO Sharing on Containerized Big Data File Systems. IEEE Trans. Computers 70(12): 2083-2097 (2021) - [c52]Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki:
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IPDPS 2021: 402-411 - [c51]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 - [c50]Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He:
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. NAS 2021: 1-7 - [c49]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 - [c48]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 - [c47]Junqi Wang, Yida Li, Qing Liu, Huizhang Luo, Kenli Li:
Total Variation Reduction for Lossless Compression of HPC Applications. SoCC 2021: 129-134 - [i3]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) - 2020
- [j18]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) - [j17]Haitao Yuan, MengChu Zhou, Qing Liu, Abdullah Abusorrah:
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds. IEEE CAA J. Autom. Sinica 7(5): 1380-1393 (2020) - [j16]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) - [j15]Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He:
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression. IEEE Trans. Parallel Distributed Syst. 31(7): 1621-1635 (2020) - [c46]Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS 2020: 987-997 - [c45]Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen:
Taming I/O variation on QoS-less HPC storage: what can applications do? SC 2020: 11 - [i2]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) - [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)
2010 – 2019
- 2019
- [j14]Haoyue Liu, MengChu Zhou, Qing Liu:
An embedded feature selection method for imbalanced data classification. IEEE CAA J. Autom. Sinica 6(3): 703-715 (2019) - [j13]Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu:
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics Autom. Lett. 4(3): 2401-2406 (2019) - [j12]Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf:
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? IEEE Trans. Computers 68(5): 631-645 (2019) - [j11]Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki:
Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. 30(3): 615-629 (2019) - [c44]Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin:
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS 2019: 293-302 - [c43]Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu:
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning. NAS 2019: 1-7 - [c42]Mengxiao Wang, Huizhang Luo, Qing Liu, Hong Jiang:
Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement. NAS 2019: 1-9 - 2018
- [j10]Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang:
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data. IEEE Trans. Multi Scale Comput. Syst. 4(4): 900-913 (2018) - [j9]Huizhang Luo, Qing Liu, Jingtong Hu, Qiao Li, Liang Shi, Qingfeng Zhuge, Edwin Hsing-Mean Sha:
Write Energy Reduction for PCM via Pumping Efficiency Improvement. ACM Trans. Storage 14(3): 27:1-27:21 (2018) - [c41]Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c40]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 - [c39]Yuhua Guo, Weijun Xiao, Qing Liu, Xubin He:
A Cost-effective and Energy-efficient Architecture for Die-stacked DRAM/NVM Memory Systems. IPCCC 2018: 1-2 - [c38]Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao:
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. IPDPS 2018: 348-357 - 2017
- [c37]Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf:
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER 2017: 58-69 - [c36]Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang:
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER 2017: 587-591 - [c35]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c34]Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth:
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage 2017 - [c33]Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He:
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS 2017: 475-484 - [c32]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 - [c31]Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He:
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory. MASCOTS 2017: 187-197 - 2015
- [c30]Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steve Harenberg, Qing Liu, Scott Klasky, Nagiza F. Samatova:
Exploring Memory Hierarchy to Improve Scientific Data Read Performance. CLUSTER 2015: 66-69 - [c29]Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky:
Combining phase identification and statistic modeling for automated parallel benchmark generation. PPoPP 2015: 269-270 - [c28]Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky:
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery. WORKS@SC 2015: 5:1-5:11 - [c27]Dan Huang, Jun Wang, Qing Liu, Jiangling Yin, Xuhong Zhang, Xunchao Chen:
Experiences in using os-level virtualization for block I/O. PDSW@SC 2015: 13-18 - [c26]Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky:
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS 2015: 309-320 - 2014
- [j8]Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu:
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26(7): 1453-1473 (2014) - [c25]David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova:
Transparent in Situ Data Transformations in ADIOS. CCGRID 2014: 256-266 - [c24]Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki:
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP 2014: 53-62 - 2013
- [c23]Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova:
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns. CCGRID 2013: 343-351 - [c22]Hongbo Zou, Karsten Schwan, Magdalena Slawiñska, Matthew Wolf, Greg Eisenhauer, Fang Zheng, Jai Dayal, Jeremy Logan, Qing Liu, Scott Klasky, Tanja Bode, Michael Clark, Matthew Kinsey:
FlexQuery: An online query system for interactive remote visual data exploration at large scale. CLUSTER 2013: 1-8 - [c21]Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf:
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science 2013: 27-34 - [c20]Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky:
Runtime I/O Re-Routing + Throttling on HPC Storage. HotStorage 2013 - 2012
- [c19]Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf:
Collaborative monitoring and visualization of HPC data. CTS 2012: 397-403 - [c18]Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf:
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par 2012: 77-88 - [c17]Eric R. Schendel, Saurabh V. Pendse, John Jenkins, David A. Boyuka II, Zhenhuan Gong, Sriram Lakshminarasimhan, Qing Liu, Hemanth Kolla, Jackie Chen, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization. HPDC 2012: 61-72 - [c16]Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky:
Quality-Aware Data Management for Large Scale Scientific Applications. SC Companion 2012: 816-820 - 2011
- [c15]Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu:
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. CLUSTER 2011: 93-102 - [c14]Jeremy Logan, Scott Klasky, Jay F. Lofstead, Hasan Abbasi, Stéphane Ethier, Ray W. Grout, Seung-Hoe Ku, Qing Liu, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops 2011: 191-198 - [c13]Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu:
Six degrees of scientific data: reading patterns for extreme scale science IO. HPDC 2011: 49-60 - [c12]Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu:
Parallel in situ indexing for data-intensive computing. LDAV 2011: 65-72 - 2010
- [j7]Mostafa Esmaeili, Feng Xu, Nasir Ghani, Chongyang Xie, Min Peng, Qing Liu:
Enhanced crankback for lightpath setup in multi-domain optical networks. IEEE Commun. Lett. 14(5): 480-482 (2010) - [c11]Feng Xu, Mostafa Esmaeili, Chongyang Xie, Nasir Ghani, Min Peng, Qing Liu:
Enhanced Crankback Signaling for Multi-Domain Traffic Engineering. ICC 2010: 1-6 - [c10]Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
PreDatA - preparatory data analytics on peta-scale machines. IPDPS 2010: 1-12 - [c9]Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf:
Managing Variability in the IO Performance of Petascale Storage Systems. SC 2010: 1-12
2000 – 2009
- 2009
- [j6]Chongyang Xie, Nasir Ghani, Qing Liu, R. Kouatang, Wei Wennie Shu, Yan Qiao, Min-You Wu, Shuping Peng:
Traffic engineering for ethernet over SONET/SDH: advances and frontiers. IEEE Netw. 23(3): 18-25 (2009) - [j5]Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao:
Routing scalability in multi-domain DWDM networks. Photonic Netw. Commun. 17(1): 63-74 (2009) - [c8]Qing Liu, Tannous Frangieh, Feng Xu, Chongyang Xie, Nasir Ghani, Ashwin Gumaste, Tom Lehman, Chin Guok, Scott Klasky:
Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks. GLOBECOM 2009: 1-6 - [c7]Chongyang Xie, Nasir Ghani, Qing Liu, Wei Wennie Shu, Ashwin Gumaste, Yan Qiao, Min-You Wu:
Multi-Point Ethernet over Next-Generation SONET/SDH. ICC 2009: 1-6 - [c6]Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings:
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS 2009 - [c5]Nasir Ghani, Qing Liu, Rui Wang, Yan Qiao, Chongyang Xie, Srikanth Seethamraju, Ashwin Gumaste:
Dynamic topology overlays for multipoint Ethernet-over-SONET/SDH. ITC 2009: 1-7 - 2008
- [j4]Nasir Ghani, Qing Liu, Ashwin Gumaste, Driss Benhaddou, Nageswara S. V. Rao, Tom Lehman:
Control plane design in multidomain/multilayer optical networks. IEEE Commun. Mag. 46(6): 78-87 (2008) - [j3]Nasir Ghani, Qing Liu, Ashwin Gumaste, John Lankford, Abdallah Shami, Chadi M. Assi, Ahmad Khalil, Driss Benhaddou:
Value-added services in next-generation SONET/SDH networks. IEEE Commun. Mag. 46(11): 64-73 (2008) - [c4]Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao, Tom Lehman:
Inter-Domain Routing Scalability in Optical DWDM Networks. ICCCN 2008: 1-7 - 2007
- [j2]Qing Liu, Nasir Ghani, Nageswara S. V. Rao, Ashwin Gumaste, M. L. Garcia:
Distributed inter-domain lightpath provisioning in the presence of wavelength conversion. Comput. Commun. 30(18): 3662-3675 (2007) - 2006
- [j1]Qing Liu, Mehmet A. Kok, Nasir Ghani, Ashwin Gumaste:
Hierarchical routing in multi-domain optical networks. Comput. Commun. 30(1): 122-131 (2006) - [c3]Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang:
Inter-Domain Provisioning in DWDM Networks. GLOBECOM 2006 - [c2]Qing Liu, Nasir Ghani, Mehmet A. Kok:
Application of topology abstraction techniques in multi-domain optical networks. ICCCN 2006: 131-136 - [c1]Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang:
Hierarchical Inter-Domain Routing in Optical DWDM Networks. INFOCOM 2006
Coauthor Index
Jong Choi 0001
aka: Jong Youl Choi
aka: Jong Youl Choi
[i4] [j30] [c55] [c54] [j25] [j23] [j22] [j21] [c53] [c52] [c51] [c49] [c48] [i3] [j18] [j16] [c46] [c45] [i2] [i1] [j12] [j11] [j10] [c41] [c40] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [j8] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [c6]
David Pugmire
aka: Dave Pugmire
aka: Dave Pugmire
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last updated on 2024-04-19 19:32 CEST by the dblp team
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