Author
Biography
Robert Underwood is a Post Doctoral Appointee in the Mathematics and Computer Science Division at Argonne National Laboratory focusing on using data compression to accelerate I/O for large-scale scientific applications including AI for Science. He currently co-leads the AuroraGPT Data Team with Ian Foster. In addition to AI, Robert's library LibPressio, allows users to experiment and adopt advanced compressors quickly, has over 200 average unique monthly downloads, is used in over 17 institutions worldwide, and he is also a contributor to the R&D100 winning SZ family of compressors and other compression libraries. He regularly mentors students and is the early career ambassador for Argonne to the Joint Laboratory for Extreme Scale Computing.
Presentations
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Workshop
Artificial Intelligence/Machine Learning
W
Paper
Accelerators
Algorithms
Data Compression
I/O, Storage, Archive
Performance Optimization
TP
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Tutorial
I/O, Storage, Archive
Scientific and Information Visualization
TUT
Committee Roles
SC Workshop Committee Member: DRBSD-10
