TY  - CONF
AU  - Riedel, Morris
TI  - European Data Infrastructure - EUDAT: Data Services & Tools
M1  - FZJ-2015-01034
PY  - 2015
AB  - 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.
T2  - Big Data and Extreme Scale Computing 2015
CY  - 28 Jan 2015 - 30 Jan 2015, Barcelona (Spain)
Y2  - 28 Jan 2015 - 30 Jan 2015
M2  - Barcelona, Spain
LB  - PUB:(DE-HGF)6
UR  - https://juser.fz-juelich.de/record/187363
ER  -