Heterogeneous Exascale Computing
Autor: | Štefan Dlugolinský, Maximilian Höb, Bartosz Wilk, Jörg Pancake-Steeg, Martin Bobák, Stefan Spahr, Reginald Cushing, Adam Belloum, Marian Bubak, Jason Maassen, Nils gentschen Felde, Ladislav Hluchý, Ondrej Habala, Piotr Nowakowski, Viet Tran, H. Spreeuw, Giang Nguyen, Jan Schmidt, Martin Seleng, Henning Müller, Matti Heikkurinen, Jan Meizner, Mara Graziani, Katarzyna Rycerz |
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Rok vydání: | 2020 |
Předmět: |
Computer science
business.industry Big data 020206 networking & telecommunications 02 engineering and technology Field (computer science) Exascale computing Workflow Project management process 0202 electrical engineering electronic engineering information engineering Systems engineering 020201 artificial intelligence & image processing Use case State (computer science) Architecture business |
Zdroj: | Recent Advances in Intelligent Engineering-Volume Dedicated to Imre J. Rudas’ Seventieth Birthday Recent Advances in Intelligent Engineering ISBN: 9783030143497 Topics in Intelligent Engineering and Informatics Topics in Intelligent Engineering and Informatics-Recent Advances in Intelligent Engineering |
ISSN: | 2193-9411 2193-942X |
DOI: | 10.1007/978-3-030-14350-3_5 |
Popis: | Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet. The chapter includes a detailed description of selected exascale services with known state of the art in extreme date solutions. The integration of requirements and the analysis of the state of the art in the exascale field is centered in on a description of a high-level architectural approach. The next main contribution of the paper is the description of the architecture capable to handle heterogeneous exascale services coming from both academic as well as industrial sphere. Those two models represent a (conceptual, and technological) design of a platform that addresses the requirements of the use cases. The resulting architecture will help us provide computing solutions to exascale challenges within the H2020 project PROCESS. |
Databáze: | OpenAIRE |
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