259 citations · 1.2k across the 51 of their papers we have counts for
7 papers · 1 filter
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li +6
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. Th…
Parsl: Pervasive Parallel Programming in Python
Yadu Babuji, Anna Woodard, Zhuozhao Li +9
High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications…
HACC Cosmological Simulations: First Data Release
Katrin Heitmann, Thomas D. Uram, Hal Finkel +10
We describe the first major public data release from cosmological simulations carried out with Argonne's HACC code. This initial release covers a range of datasets from large gravi…
A Data Ecosystem to Support Machine Learning in Materials Science
Ben Blaiszik, Logan Ward, Marcus Schwarting +5
Facilitating the application of machine learning to materials science problems will require enhancing the data ecosystem to enable discovery and collection of data from many source…
Cloud Futurology
Blesson Varghese, Philipp Leitner, Suprio Ray +9
The Cloud has become integral to most Internet-based applications and user gadgets. This article provides a brief history of the Cloud and presents a researcher's view of the prosp…