Szczegóły publikacji
Opis bibliograficzny
Heterogeneous exascale computing / Ladislav Hluchý, [et al.], Piotr NOWAKOWSKI, Jan MEIZNER, Katarzyna RYCERZ, Bartosz WILK, Marian BUBAK, [et al.] // W: Recent Advances in Intelligent Engineering : volume dedicated to Imre J. Rudas' Seventieth Birthday / eds. Levente Kovács, Tamás Haidegger, Anikó Szakál. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Topics in Intelligent Engineering and Informatics ; ISSN 2193-9411 ; vol. 14). — ISBN: 978-3-030-14349-7; e-ISBN: 978-3-030-14350-3. — S. 81–110. — Bibliogr., Abstr.
Autorzy (24)
- Hluchý Ladislav
- Bobák Martin
- Müller Henning
- Graziani Mara
- Maassen Jason
- Spreeuw Hanno
- Heikkurinen Matti
- Pancake-Steeg Jörg
- Spahr Stefan
- Gentschen Felde Nils Otto vor dem
- Höb Maximilian
- Schmidt Jan
- Belloum Adam S. Z.
- Cushing Reginald
- AGHNowakowski Piotr
- AGHMeizner Jan
- AGHRycerz Katarzyna
- AGHWilk Bartosz
- AGHBubak Marian
- Habala Ondrej
- Šeleng Martin
- Dlugolinský Stefan
- Tran Viet
- Nguyen Giang
Dane bibliometryczne
| ID BaDAP | 131706 |
|---|---|
| Data dodania do BaDAP | 2020-12-21 |
| DOI | 10.1007/978-3-030-14350-3_5 |
| Rok publikacji | 2020 |
| Typ publikacji | fragment książki |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Topics in Intelligent Engineering and Informatics |
Abstract
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.