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Author

Biography
Daniel Milroy is a Computer Scientist at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory. Dan holds a BA in physics from the University of Chicago and a PhD in computer science from the University of Colorado Boulder. His research focuses on graph-based scheduling, resource representation, and management for high-performance computing (HPC) and cloud-converged environments. While Dan’s research background is numerical analysis and software quality assurance and correctness for climate simulations, he is currently interested in scheduling and representing dynamic resources, and co-scheduling and management techniques for HPC and cloud. He leads a research project at LLNL focusing on resource management and scheduling of converged computing environments. Dan is a co-recipient of an R&D 100 award in 2021 for the Flux Framework.
Presentations
Panel
Artificial Intelligence/Machine Learning
Cloud Computing
Heterogeneous Computing
TP
Workshop
Data Analysis, Visualization, and Storage
Large Scale Systems
Programming Frameworks and System Software
Reproducibility
Resource Management
Runtime Systems
W
Chair of Sessions
Panel
Artificial Intelligence/Machine Learning
Cloud Computing
Heterogeneous Computing
TP