Contributor
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. His library LibPressio, which allows users to experiment and adopt advanced compressors quickly, has over 200 average unique monthly downloads, is used in over 17 institutions worldwide, and is 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
Fault Handling and Tolerance
W
Posters
Research Posters
Artificial Intelligence/Machine Learning
Architecture and Networks
Heterogeneous Computing
I/O and File Systems
Performance Measurement, Modeling, and Tools
Post-Moore Computing
Programming Frameworks and System Software
Quantum Computing
TP
XO/EX
Workshop
Data Analysis, Visualization, and Storage
Data Compression
W
Tutorial
Algorithms
Applications
Data Compression
I/O and File Systems
TUT