Cross-institutional research cyberinfrastructure for data intensive scienceDownload PDFOpen Website

Published: 01 Jan 2016, Last Modified: 12 May 2023HPEC 2016Readers: Everyone
Abstract: This paper describes a multi-institution effort to develop a “data science as a service” platform. This platform integrates advanced federated data management for small to large datasets, access to high performance computing, distributed computing and advanced networking. The goal is to develop a platform that is flexible and extensible while still supporting domain research and avoiding the walled garden problem. Some preliminary lessons learned and next steps will also be outlined.
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