Qing Liu

102 papers A* 4A 20B 11C 6Misc 1Journal 40Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
fPIM: A Holistic Design to Optimize PIM Data Flow for High Execution Efficiency.
IEEE Trans. Parallel Distributed Syst.
Nan Wang, Wenjie Liu, Qing Liu, Xubin He
2025 J jnl
A General Framework for Error-controlled Unstructured Scientific Data Compression.
CoRR
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2025 A conf
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
SC
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025 J jnl
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
CoRR
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
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 A conf
Stability-preserving Lossy Compression for Large-scale Partial Differential Equations.
SC
Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2025 A* conf
Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis.
ICDE
Weiming He, Qi Chen, Qian Gong, Jing Li, Qing Liu, Norbert Podhorszki, Scott Klasky, Ki Sung Jung, Cristian Lacey, Jackie Chen, Hongjian Zhu
2024 B conf
A General Framework for Error-controlled Unstructured Scientific Data Compression.
e-Science
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024 A conf
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
SC
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024 J jnl
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
CoRR
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
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 A conf
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.
SC
Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu
2023 J jnl
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.
IEEE Trans. Big Data
Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, MengChu Zhou, Hong Jiang
2023 J jnl
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems.
IEEE Trans. Parallel Distributed Syst.
Wenjie Liu, Xubin He, Qing Liu
2023 J jnl
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.
IEEE Trans. Big Data
Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He
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 J jnl
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression.
IEEE Trans. Computers
Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He
2022 J jnl
Identifying challenges and opportunities of in-memory computing on large HPC systems.
J. Parallel Distributed Comput.
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2022 J jnl
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.
J. Netw. Comput. Appl.
Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He
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 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
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IEEE Trans. Parallel Distributed Syst.
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
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 J jnl
Biobjective Task Scheduling for Distributed Green Data Centers.
IEEE Trans Autom. Sci. Eng.
Haitao Yuan, Jing Bi, MengChu Zhou, Qing Liu, Ahmed Chiheb Ammari
2021 J jnl
Enhancing Proportional IO Sharing on Containerized Big Data File Systems.
IEEE Trans. Computers
Dan Huang, Jun Wang, Qing Liu, Nong Xiao, Huafeng Wu, Jiangling Yin
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 — conf
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.
NAS
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He
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 — conf
Total Variation Reduction for Lossless Compression of HPC Applications.
SoCC
Junqi Wang, Yida Li, Qing Liu, Huizhang Luo, Kenli Li
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
2021 A conf
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IPDPS
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
2020 A conf
A Comprehensive Study of In-Memory Computing on Large HPC Systems.
ICDCS
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, 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
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression.
IEEE Trans. Parallel Distributed Syst.
Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He
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
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds.
IEEE CAA J. Autom. Sinica
Haitao Yuan, MengChu Zhou, Qing Liu, Abdullah Abusorrah
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
Taming I/O variation on QoS-less HPC storage: what can applications do?
SC
Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen
2019 J jnl
An embedded feature selection method for imbalanced data classification.
IEEE CAA J. Autom. Sinica
Haoyue Liu, MengChu Zhou, Qing Liu
2019 J jnl
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?
IEEE Trans. Computers
Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf
2019 — conf
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.
NAS
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu
2019 J jnl
Harnessing Data Movement in Virtual Clusters for In-Situ Execution.
IEEE Trans. Parallel Distributed Syst.
Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
2019 A conf
Identifying Latent Reduced Models to Precondition Lossy Compression.
IPDPS
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, MengChu Zhou, Jinzhen Wang, Zhenlu Qin
2019 — conf
Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement.
NAS
Mengxiao Wang, Huizhang Luo, Qing Liu, Hong Jiang
2019 J jnl
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning.
IEEE Robotics Autom. Lett.
Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu
2018 C conf
A Cost-effective and Energy-efficient Architecture for Die-stacked DRAM/NVM Memory Systems.
IPCCC
Yuhua Guo, Weijun Xiao, Qing Liu, Xubin He
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 — conf
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
eScience
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
2018 J jnl
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst.
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
2018 A conf
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.
IPDPS
Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao
2018 J jnl
Write Energy Reduction for PCM via Pumping Efficiency Improvement.
ACM Trans. Storage
Huizhang Luo, Qing Liu, Jingtong Hu, Qiao Li, Liang Shi, Qingfeng Zhuge, Edwin Hsing-Mean Sha
2017 C conf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
CLUSTER
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
2017 — conf
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
HotStorage
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
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
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 B conf
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory.
MASCOTS
Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He
2017 Misc conf
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.
ICCS
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
2017 C conf
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.
CLUSTER
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
2015 — conf
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery.
WORKS@SC
Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky
2015 A* conf
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.
SIGMETRICS
Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015 B conf
Combining phase identification and statistic modeling for automated parallel benchmark generation.
PPoPP
Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015 — conf
Experiences in using os-level virtualization for block I/O.
PDSW@SC
Dan Huang, Jun Wang, Qing Liu, Jiangling Yin, Xuhong Zhang, Xunchao Chen
2015 C conf
Exploring Memory Hierarchy to Improve Scientific Data Read Performance.
CLUSTER
Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steve Harenberg, Qing Liu, Scott Klasky, Nagiza F. Samatova
2014 — conf
Active workflow system for near real-time extreme-scale science.
PPAA@PPoPP
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
2014 J jnl
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.
Concurr. Comput. Pract. Exp.
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
2014 B conf
Transparent in Situ Data Transformations in ADIOS.
CCGRID
David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova
2013 B conf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.
e-Science
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
2013 C conf
FlexQuery: An online query system for interactive remote visual data exploration at large scale.
CLUSTER
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
2013 B conf
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns.
CCGRID
Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova
2013 — conf
Runtime I/O Re-Routing + Throttling on HPC Storage.
HotStorage
Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky
2012 — conf
Collaborative monitoring and visualization of HPC data.
CTS
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
2012 A conf
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.
HPDC
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
2012 — conf
Quality-Aware Data Management for Large Scale Scientific Applications.
SC Companion
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
2012 — conf
Understanding I/O Performance Using I/O Skeletal Applications.
Euro-Par
Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
2011 C conf
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.
CLUSTER
Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu
2011 — conf
Parallel in situ indexing for data-intensive computing.
LDAV
Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
2011 A conf
Six degrees of scientific data: reading patterns for extreme scale science IO.
HPDC
Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu
2011 — conf
Skel: Generative Software for Producing Skeletal I/O Applications.
e-Science Workshops
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
2010 — conf
Enhanced Crankback Signaling for Multi-Domain Traffic Engineering.
ICC
Feng Xu, Mostafa Esmaeili, Chongyang Xie, Nasir Ghani, Min Peng, Qing Liu
2010 J jnl
Enhanced crankback for lightpath setup in multi-domain optical networks.
IEEE Commun. Lett.
Mostafa Esmaeili, Feng Xu, Nasir Ghani, Chongyang Xie, Min Peng, Qing Liu
2010 A conf
Managing Variability in the IO Performance of Petascale Storage Systems.
SC
Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf
2010 A conf
PreDatA - preparatory data analytics on peta-scale machines.
IPDPS
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
2009 B conf
Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks.
GLOBECOM
Qing Liu, Tannous Frangieh, Feng Xu, Chongyang Xie, Nasir Ghani, Ashwin Gumaste, Tom Lehman, Chin Guok, Scott Klasky
2009 A conf
Dynamic topology overlays for multipoint Ethernet-over-SONET/SDH.
ITC
Nasir Ghani, Qing Liu, Rui Wang, Yan Qiao, Chongyang Xie, Srikanth Seethamraju, Ashwin Gumaste
2009 — conf
Multi-Point Ethernet over Next-Generation SONET/SDH.
ICC
Chongyang Xie, Nasir Ghani, Qing Liu, Wei Wennie Shu, Ashwin Gumaste, Yan Qiao, Min-You Wu
2009 — conf
Plasma fusion code coupling using scalable I/O services and scientific workflows.
SC-WORKS
Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings
2009 J jnl
Routing scalability in multi-domain DWDM networks.
Photonic Netw. Commun.
Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao
2009 J jnl
Traffic engineering for ethernet over SONET/SDH: advances and frontiers.
IEEE Netw.
Chongyang Xie, Nasir Ghani, Qing Liu, R. Kouatang, Wei Wennie Shu, Yan Qiao, Min-You Wu, Shuping Peng
2008 J jnl
Control plane design in multidomain/multilayer optical networks.
IEEE Commun. Mag.
Nasir Ghani, Qing Liu, Ashwin Gumaste, Driss Benhaddou, Nageswara S. V. Rao, Tom Lehman
2008 B conf
Inter-Domain Routing Scalability in Optical DWDM Networks.
ICCCN
Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao, Tom Lehman
2008 J jnl
Value-added services in next-generation SONET/SDH networks.
IEEE Commun. Mag.
Nasir Ghani, Qing Liu, Ashwin Gumaste, John Lankford, Abdallah Shami, Chadi M. Assi, Ahmad Khalil, Driss Benhaddou
2007 J jnl
Distributed inter-domain lightpath provisioning in the presence of wavelength conversion.
Comput. Commun.
Qing Liu, Nasir Ghani, Nageswara S. V. Rao, Ashwin Gumaste, M. L. Garcia
2006 B conf
Application of topology abstraction techniques in multi-domain optical networks.
ICCCN
Qing Liu, Nasir Ghani, Mehmet A. Kok
2006 A* conf
Hierarchical Inter-Domain Routing in Optical DWDM Networks.
INFOCOM
Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang
2006 J jnl
Hierarchical routing in multi-domain optical networks.
Comput. Commun.
Qing Liu, Mehmet A. Kok, Nasir Ghani, Ashwin Gumaste
2006 B conf
Inter-Domain Provisioning in DWDM Networks.
GLOBECOM
Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang