Qing Liu

Orcid: 0000-0002-7600-7976

Affiliations:

New Jersey Institute of Technology, Department of Electrical and Computer Engineering, NJ, USA
Oak Ridge National Laboratory, Computer Science and Mathematics Division, TN, USA
University of New Mexico, ECE Department, Albuquerque, NM, USA (PhD 2008)
Tennessee Tech University, ECE Department, Cookeville, TN, USA (former)

According to our database¹, Qing Liu authored at least 87 papers between 2006 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.

[BibT_eX]

[DOI]

SoftwareX, December, 2023

zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression.

[BibT_eX]

[DOI]

IEEE Trans. Computers, September, 2023

A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2023

Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems.

[BibT_eX]

[DOI]

Wenjie Liu

Xubin He

Qing Liu

IEEE Trans. Parallel Distributed Syst., March, 2023

High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

Identifying challenges and opportunities of in-memory computing on large HPC systems.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2022

Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.

[BibT_eX]

[DOI]

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

2021

Enhancing Proportional IO Sharing on Containerized Big Data File Systems.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2021

Biobjective Task Scheduling for Distributed Green Data Centers.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

[BibT_eX]

[DOI]

CoRR, 2021

Total Variation Reduction for Lossless Compression of HPC Applications.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.

[BibT_eX]

[DOI]

SoftwareX, 2020

Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.

[BibT_eX]

[DOI]

CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

[BibT_eX]

[DOI]

CoRR, 2020

Taming I/O variation on QoS-less HPC storage: what can applications do?

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

A Comprehensive Study of In-Memory Computing on Large HPC Systems.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Harnessing Data Movement in Virtual Clusters for In-Situ Execution.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2019

Time-Dependent Cloud Workload Forecasting via Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

An embedded feature selection method for imbalanced data classification.

[BibT_eX]

[DOI]

Haoyue Liu

MengChu Zhou

Qing Liu

IEEE CAA J. Autom. Sinica, 2019

Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Networking, 2019

Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Networking, 2019

Identifying Latent Reduced Models to Precondition Lossy Compression.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018

Write Energy Reduction for PCM via Pumping Efficiency Improvement.

[BibT_eX]

[DOI]

ACM Trans. Storage, 2018

SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.

[BibT_eX]

[DOI]

IEEE Trans. Multi Scale Comput. Syst., 2018

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

A Cost-effective and Energy-efficient Architecture for Die-stacked DRAM/NVM Memory Systems.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Exacution: Enhancing Scientific Data Management for Exascale.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2017

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.

[BibT_eX]

[DOI]

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.

[BibT_eX]

[DOI]

Randy Michael Churchill

Choong-Seock Chang

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015

Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Co-sites: the autonomous distributed dataflows in collaborative scientific discovery.

[BibT_eX]

[DOI]

Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015

Experiences in using os-level virtualization for block I/O.

[BibT_eX]

[DOI]

Proceedings of the 10th Parallel Data Storage Workshop, 2015

Exploring Memory Hierarchy to Improve Scientific Data Read Performance.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2014

Active workflow system for near real-time extreme-scale science.

[BibT_eX]

[DOI]

Proceedings of the first workshop on Parallel programming for analytics applications, 2014

Transparent in Situ Data Transformations in ADIOS.

[BibT_eX]

[DOI]

David A. Boyuka II

Sriram Lakshminarasimhan

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013

Runtime I/O Re-Routing + Throttling on HPC Storage.

[BibT_eX]

[DOI]

Proceedings of the 5th USENIX Workshop on Hot Topics in Storage and File Systems, 2013

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on eScience, 2013

FlexQuery: An online query system for interactive remote visual data exploration at large scale.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Quality-Aware Data Management for Large Scale Scientific Applications.

[BibT_eX]

[DOI]

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.

[BibT_eX]

[DOI]

Sriram Lakshminarasimhan

Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

Understanding I/O Performance Using I/O Skeletal Applications.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Collaborative monitoring and visualization of HPC data.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Collaboration Technologies and Systems, 2012

2011

Parallel in situ indexing for data-intensive computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Six degrees of scientific data: reading patterns for extreme scale science IO.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

Skel: Generative Software for Producing Skeletal I/O Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE 7th International Conference on E-Science, 2011

EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010

Enhanced crankback for lightpath setup in multi-domain optical networks.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2010

Managing Variability in the IO Performance of Petascale Storage Systems.

[BibT_eX]

[DOI]

Proceedings of the Conference on High Performance Computing Networking, 2010

PreDatA - preparatory data analytics on peta-scale machines.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Enhanced Crankback Signaling for Multi-Domain Traffic Engineering.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2010

2009

Routing scalability in multi-domain DWDM networks.

[BibT_eX]

[DOI]

Photonic Netw. Commun., 2009

Traffic engineering for ethernet over SONET/SDH: advances and frontiers.

[BibT_eX]

[DOI]

IEEE Netw., 2009

Dynamic topology overlays for multipoint Ethernet-over-SONET/SDH.

[BibT_eX]

[DOI]

Proceedings of the 21st International Teletraffic Congress, 2009

Plasma fusion code coupling using scalable I/O services and scientific workflows.

[BibT_eX]

[DOI]

Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009

Multi-Point Ethernet over Next-Generation SONET/SDH.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2009

Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks.

[BibT_eX]

[DOI]

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008

Value-added services in next-generation SONET/SDH networks.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2008

Control plane design in multidomain/multilayer optical networks.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2008

Inter-Domain Routing Scalability in Optical DWDM Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Computer Communications and Networks, 2008

2007

Distributed inter-domain lightpath provisioning in the presence of wavelength conversion.

[BibT_eX]

[DOI]

Comput. Commun., 2007

2006

Hierarchical routing in multi-domain optical networks.

[BibT_eX]

[DOI]

Comput. Commun., 2006

Hierarchical Inter-Domain Routing in Optical DWDM Networks.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Application of topology abstraction techniques in multi-domain optical networks.

[BibT_eX]

[DOI]

Qing Liu

Nasir Ghani

Mehmet A. Kok

Proceedings of the 15th International Conference On Computer Communications and Networks, 2006

Inter-Domain Provisioning in DWDM Networks.

[BibT_eX]

[DOI]

Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Qing Liu

Timeline

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Bibliography

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