Qing Liu
Orcid: 0000-0002-7600-7976Affiliations:
- 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 89 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on web.njit.edu
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on orcid.org
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on ece.njit.edu
On csauthors.net:
Bibliography
2024
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.
Proceedings of the International Conference for High Performance Computing, 2024
Proceedings of the 20th IEEE International Conference on e-Science, 2024
2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression.
IEEE Trans. Computers, September, 2023
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.
IEEE Trans. Big Data, June, 2023
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems.
IEEE Trans. Parallel Distributed Syst., March, 2023
IEEE Trans. Big Data, February, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
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.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
Identifying challenges and opportunities of in-memory computing on large HPC systems.
J. Parallel Distributed Comput., 2022
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.
J. Netw. Comput. Appl., 2022
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022
2021
IEEE Trans. Computers, 2021
IEEE Trans Autom. Sci. Eng., 2021
CoRR, 2021
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.
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.
Proceedings of the International Conference for High Performance Computing, 2021
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.
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.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds.
IEEE CAA J. Autom. Sinica, 2020
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020
CoRR, 2020
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2019
IEEE Trans. Parallel Distributed Syst., 2019
IEEE Trans. Computers, 2019
IEEE Robotics Autom. Lett., 2019
IEEE CAA J. Autom. Sinica, 2019
Proceedings of the 2019 IEEE International Conference on Networking, 2019
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.
Proceedings of the 2019 IEEE International Conference on Networking, 2019
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
2018
ACM Trans. Storage, 2018
IEEE Trans. Multi Scale Comput. Syst., 2018
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.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
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.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017
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.
Proceedings of the International Conference on Computational Science, 2017
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017
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.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2015
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.
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.
Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015
Proceedings of the 10th Parallel Data Storage Workshop, 2015
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.
Concurr. Comput. Pract. Exp., 2014
Proceedings of the first workshop on Parallel programming for analytics applications, 2014
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014
2013
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.
Proceedings of the 9th IEEE International Conference on eScience, 2013
FlexQuery: An online query system for interactive remote visual data exploration at large scale.
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.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013
2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012
Proceedings of the 2012 International Conference on Collaboration Technologies and Systems, 2012
2011
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011
Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011
Proceedings of the IEEE 7th International Conference on E-Science, 2011
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011
2010
IEEE Commun. Lett., 2010
Proceedings of the Conference on High Performance Computing Networking, 2010
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
Proceedings of IEEE International Conference on Communications, 2010
2009
IEEE Netw., 2009
Proceedings of the 21st International Teletraffic Congress, 2009
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009
Proceedings of IEEE International Conference on Communications, 2009
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
2008
IEEE Commun. Mag., 2008
Proceedings of the 17th International Conference on Computer Communications and Networks, 2008
2007
Distributed inter-domain lightpath provisioning in the presence of wavelength conversion.
Comput. Commun., 2007
2006
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006
Proceedings of the 15th International Conference On Computer Communications and Networks, 2006
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006