High-Performance Data Intensive Lab
High-Performance Data Intensive Lab
We enhance the ecosystem for scientific data management on High-performance Computing (HPC) systems.
Our lab is looking for motivated students to join us. If you are interested in HPC research, feel free to get in touch.
[12/2024] NRDPISI-2 is calling for paper. Consider submitting your work here.
[11/2024] Serving as a TPC member of ICDE'25.
[10/2024] "QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate" is accepted by BigData'24. Congrats to Khondoker Mirazul Mumenin! Gratitude to Dr. Di Sheng and Dr. Dong Dai.
[06/2024] Organizing NRDPISI-1 workshop in conjunction with eScience 2024.
[04/2024] Joining UNC Charlotte as a tenure-track assistant professor.
[09/2023] Serving as a TPC member of SDM’24.
[09/2023] Serving as a TPC member of CCGrid'24. Consider submitting your work here.
[03/2023] "zPerf: A Statistical Gray-box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression" is accpeted to appear in IEEE Transaction on Computers.
[02/2023] "Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network" is accepted by ICDE'23.
[09/2022] "Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data" is accpeted by DRBSD-8.
[05/2022] Joining Los Alamos National Laboratory as a summer intern.
[08/2019] Our paper "Compression ratio modeling and estimation across error bounds for lossy compression" has been accepted by IEEE Transactions on Parallel and Distributed Systems.
[05/2019] Presenting our work at IPDPS'19.