Presenter
Biography
Qing Zheng is a Computer Scientist on the Storage Research Team in the High-Performance Computing Design Group at Los Alamos National Laboratory. Qing translates real-world storage challenges into opportunities for innovation. Working closely with industry and academia, Qing explores new possibilities in storage and data management, expanding the forefront of existing technologies to meet the demands of cutting-edge scientific computing and the lab’s future workloads.
Qing graduated from Carnegie Mellon University in 2021 with a Ph.D. in Computer Science. Prior to joining Los Alamos, Qing was a Research Scientist at New Mexico Consortium.
Qing graduated from Carnegie Mellon University in 2021 with a Ph.D. in Computer Science. Prior to joining Los Alamos, Qing was a Research Scientist at New Mexico Consortium.
Presentations
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Paper
Algorithms
Data Movement and Memory
I/O, Storage, Archive
Performance Optimization
Scientific and Information Visualization
Visualization
TP
Committee Roles
SC Workshop Committee Member: PDSW