Helen and John C. Hartmann Department of Electrical and Computer Engineering
New Jersey Institute of Technology, Newark, NJ
Computer Science and Mathematics Division
Oak Ridge National Laboratory, Oak Ridge, TN
Email: qliu at njit.edu, liuq at ornl.gov (not frequently checked)
Office: ECEC 345
Dr. Gary Liu is an Assistant Professor in the Department of Electrical and Computer Engineering at NJIT, and he holds Joint Faculty Appointment at ORNL (with Scientific Data Group). Learn Moreabout Dr. Liu's experience.
Dr. Liu's areas of research include high-performance computing and Big Data science. He has published on premier HPC conferences, such as SC, HPDC, SIGMETRICS, IPDPS, CLUSTER, and etc.
Write Energy Reduction for PCM via Pumping Efficiency Improvement, ACM Transactions on Storage, to appear
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age, accepted to ICDCS'18
Canopus+: Intent-driven Data Refactoring for Extreme-Scale Data Analytics, ICNSC'18 (abstract paper)
Best paper nominee of IPDPS'18 (4 out of 461 submissions).
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data, IEEE IPDPS'18 (1st rounder, 38 out of 461 submissions).
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage, IEEE Cluster'17 (acceptance rate 21%)
TGE: Machine Learning Based Task Graph Embedding for Large-scale Topology Mapping, IEEE Cluster'17 (acceptance rate 21%)
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales, (invited paper) accepted to EuroPar'17. (acceptance rate 28%)
Exacution: Enhancing Scientific Data Management for Exascale, the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, GA, June 2017.
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment, accepted to the International Conference on Computational Science (ICCS), Zurich, Switzerland, June, 2017. (acceptance rate 28%)