This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrations ranged from deploying proprietary software in a cloud environment to leveraging established cloud-based analytics workflows for processing scientific datasets. By and large, the projects were successful and collectively they suggest that cloud computing can be a valuable computational resource for scientific computation at national laboratories.
@article{arxiv.1901.01331,
title = {The ISTI Rapid Response on Exploring Cloud Computing 2018},
author = {Carleton Coffrin and James Arnold and Stephan Eidenbenz and Derek Aberle and John Ambrosiano and Zachary Baker and Sara Brambilla and Michael Brown and K. Nolan Carter and Pinghan Chu and Patrick Conry and Keeley Costigan and Ariane Eberhardt and David M. Fobes and Adam Gausmann and Sean Harris and Donovan Heimer and Marlin Holmes and Bill Junor and Csaba Kiss and Steve Linger and Rodman Linn and Li-Ta Lo and Jonathan MacCarthy and Omar Marcillo and Clay McGinnis and Alexander McQuarters and Eric Michalak and Arvind Mohan and Matt Nelson and Diane Oyen and Nidhi Parikh and Donatella Pasqualini and Aaron s. Pope and Reid Porter and Chris Rawlings and Hannah Reinbolt and Reid Rivenburgh and Phil Romero and Kevin Schoonover and Alexei Skurikhin and Daniel Tauritz and Dima Tretiak and Zhehui Wang and James Wernicke and Brad Wolfe and Phillip Wolfram and Jonathan Woodring},
journal= {arXiv preprint arXiv:1901.01331},
year = {2019}
}