1. The ISTI Rapid Response on Exploring Cloud Computing 2018
- Author
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Coffrin, Carleton, Arnold, James, Eidenbenz, Stephan, Aberle, Derek, Ambrosiano, John, Baker, Zachary, Brambilla, Sara, Brown, Michael, Carter, K. Nolan, Chu, Pinghan, Conry, Patrick, Costigan, Keeley, Eberhardt, Ariane, Fobes, David M., Gausmann, Adam, Harris, Sean, Heimer, Donovan, Holmes, Marlin, Junor, Bill, Kiss, Csaba, Linger, Steve, Linn, Rodman, Lo, Li-Ta, MacCarthy, Jonathan, Marcillo, Omar, McGinnis, Clay, McQuarters, Alexander, Michalak, Eric, Mohan, Arvind, Nelson, Matt, Oyen, Diane, Parikh, Nidhi, Pasqualini, Donatella, Pope, Aaron s., Porter, Reid, Rawlings, Chris, Reinbolt, Hannah, Rivenburgh, Reid, Romero, Phil, Schoonover, Kevin, Skurikhin, Alexei, Tauritz, Daniel, Tretiak, Dima, Wang, Zhehui, Wernicke, James, Wolfe, Brad, Wolfram, Phillip, and Woodring, Jonathan
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Machine Learning - 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.
- Published
- 2019