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The ISTI Rapid Response on Exploring Cloud Computing 2018

4 January 2019
Carleton Coffrin
James Arnold
S. Eidenbenz
Derek Aberle
J. Ambrosiano
Z. Baker
S. Brambilla
Michael Brown
K. Carter
Pinghan Chu
P. Conry
K. Costigan
Ariane Eberhardt
D. Fobes
Adam Gausmann
Sean N. Harris
Donovan Heimer
Marlin Holmes
B. Junor
Csaba Kiss
S. Linger
R. Linn
Li-Ta Lo
J. MacCarthy
O. Marcillo
Clay McGinnis
Alexander McQuarters
Eric Michalak
Arvind Mohan
Matt Nelson
Diane Oyen
Nidhi Parikh
D. Pasqualini
A. Pope
R. Porter
C. Rawlings
Hannah Reinbolt
R. Rivenburgh
Philip Romero
Kevin Schoonover
A. Skurikhin
D. Tauritz
D. Tretiak
Zhehui Wang
James Wernicke
B. Wolfe
P. Wolfram
J. Woodring
ArXiv (abs)PDFHTML
Abstract

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.

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