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Conference Presentation (Invited) | FZJ-2015-01034 |
2015
Please use a persistent id in citations: http://hdl.handle.net/2128/8322
Abstract: With ever increasing scales towards extreme-scales in high performance computing large quantities of data are continuing to grow leading to a wide variety of challenges for computational sciences. Solutions are discussed in the talk of using analytics and visualizations in parallel - in-situ - to the extreme-scale simulation run in order to reduce, validate, or to even only understand the complex scientific datasets generated. Exchanging and sharing those data, replicating and archiving for later re-use, or permanently linking the data within publications are just a few challending areas for which the European Data Infrastructure EUDAT offers selected tools. The talk motivates this problem space towards extreme scales and outlines a potential set of tools and methods. one of the feasible sustainable approaches is known as a collaborative data infrastructure that encourages trust in users and, among other benefits, enables the removal of duplicate datasets.
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