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Titel:

Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model Using Reconfigurable Hardware in Invasive Computing

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Pöppl, Alexander; Damschen, Marvin; Schmaus, Florian; Fried, Andreas; Mohr, Manuel; Blankertz, Matthias; Bauer, Lars; Henkel, Jörg; Schröder-Preikschat, Wolfgang; Bader, Michael
Seitenangaben Beitrag:
676-687
Abstract:
Reconfigurable architectures are commonly used in the embedded systems domain to speed up compute-intensive tasks. They combine a reconfigurable fabric with a general-purpose microprocessor to accelerate compute-intensive tasks on the fabric while the general-purpose CPU is used for the rest of the workload. Through the use of invasive computing, we aim to show the feasibility of this technology for HPC scenarios. We demonstrate this by accelerating a proxy application for the simulation of shal...     »
Stichworte:
Invasive computing; High Performance Computing; Tsunami simulation; Reconfigurable processor; Resource-aware computing
Herausgeber:
Heras, Dora B.; Bouge, Luc; Mencagli, Gabriele; Jeannot, Emmanuel; Sakellariou, Rizos; Badia, Rosa M.; Barbosa, Jorge G.; Ricci, Laura; Scott, Stephan L.; Lankes, Stefan; Weidendorfer, Josef
Kongress- / Buchtitel:
Euro-Par 2017: Parallel Processing Workshops
Kongress / Zusatzinformationen:
Santiago de Compostela, Spain
Ausrichter der Konferenz:
Universidade de Santiago de Compostela
Verlag / Institution:
Springer International Publishing
Verlagsort:
Cham
Publikationsdatum:
08.02.2018
Jahr:
2018
Quartal:
1. Quartal
Jahr / Monat:
2018-02
Monat:
Feb
Seiten:
676-687
Print-ISBN:
978-3-319-75177-1
Serientitel:
Lecture Notes in Computer Science
Serienbandnummer:
10659
Reviewed:
ja
Sprache:
en
WWW:
https://doi.org/10.1007/978-3-319-75178-8_54
Hinweise:
Archive-ID: 2018_02_08_poeppl_swe-x10_icore
TUM Einrichtung:
Department of Informatics
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