85 citations · 102 across the 5 of their papers we have counts for
5 papers
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…
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…
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments
Bertram Ludaescher, Kyle Chard, Niall Gaffney +4
We present an overview of the recently funded "Merging Science and Cyberinfrastructure Pathways: The Whole Tale" project (NSF award #1541450). Our approach has two nested goals: 1)…
A Secure Data Enclave and Analytics Platform for Social Scientists
Yadu N. Babuji, Kyle Chard, Aaron Gerow +1
Data-driven research is increasingly ubiquitous and data itself is a defining asset for researchers, particularly in the computational social sciences and humanities. Entire career…