High-Performance Data Intensive Lab
High-Performance Data Intensive Lab
We enhance the ecosystem for scientific data management on 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.