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

Pöppl A, Damschen M, Schmaus F, Fried A, Mohr M, Blankertz M, Bauer L, Henkel J, Schröder-Preikschat W, Bader M (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: -

Conference Proceedings Title: Euro-Par 2017: Parallel Processing Workshops

Event location: Santiago de Compostela, Spain ES

DOI: 10.1007/978-3-319-75178-8_54

Authors with CRIS profile

Florian Schmaus Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Wolfgang Schröder-Preikschat Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)

Related research project(s)

Invasive Run-Time Support System (iRTSS) (C01) (SFB/TRR 89 InvasIC (C01)) DFG SFB/Transregio 89 "Invasive Computing" (TRR 89) July 1, 2010 - June 30, 2022

Involved external institutions

Karlsruhe Institute of Technology (KIT) DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Pöppl, A., Damschen, M., Schmaus, F., Fried, A., Mohr, M., Blankertz, M.,... Bader, M. (2017). Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model using Reconfigurable Hardware in Invasive Computing. In Euro-Par 2017: Parallel Processing Workshops (pp. -). Santiago de Compostela, Spain, ES.

MLA:

Pöppl, Alexander, et al. "Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model using Reconfigurable Hardware in Invasive Computing." Proceedings of the Euro-Par 2017, Santiago de Compostela, Spain 2017. -.

BibTeX: Download