Exascale computing and data architectures for brownfield applications

Authors
  • M. Bubak
  • M. Heikkurinen
  • O. Habala
  • L. Hluchý
Publication date 2018
Host editors
  • M. Li
  • X. Ning
  • Z. Xiao
  • G. Xiao
  • K. Li
  • L. Wang
Book title ICNC-FSKD 2018
Book subtitle 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery : Huangshan, Anhui, China, 28-30 July, 2018
ISBN
  • 9781538680988
ISBN (electronic)
  • 9781538680971
  • 9781538680964
Event International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
Pages (from-to) 450-457
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude. To demonstrate the feasibility of addressing these problems necessitating processing of exascale data sets, novel architectural approaches are needed. These architectures need to support efficient service composition and balancing infrastructure- and user-centric points of view of exascale infrastructures and services. This combination of bottom-up and top-down approaches aims at narrowing the gap between infrastructure services and paving the way towards future high capacity generations einfrastructure. The resulting architecture will help us provide computing solutions to exascale challenges within the H2020 project PROCESS.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/FSKD.2018.8686900
Other links https://www.process-project.eu/
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