Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model Using Reconfigurable Hardware in Invasive Computing-Reference-Cited by-同舟云学术

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

Published:2018 Issue: Volume: Page:676-687
ISSN:0302-9743
Container-title:Euro-Par 2017: Parallel Processing Workshops
language:
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Author:

Pöppl Alexander^ORCID,Damschen Marvin,Schmaus Florian,Fried Andreas,Mohr Manuel,Blankertz Matthias,Bauer Lars,Henkel Jörg,Schröder-Preikschat Wolfgang,Bader Michael

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-75178-8_54

Reference27 articles.

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3. Bale, D.S., LeVeque, R.J., Mitran, S., Rossmanith, J.A.: A wave propagation method for conservation laws and balance laws with spatially varying flux functions. SIAM J. Sci. Comput. 24(3), 955–978 (2003)

4. Bauer, L., Grudnitsky, A., Damschen, M., et al.: Floating point acceleration for stream processing applications in dynamically reconfigurable processors. In: IEEE Symposium on Embedded Systems for Real-time Multimedia (ESTIMedia), October 2015

5. Bauer, L., Shafique, M., Henkel, J.: A computation- and communication-infrastructure for modular special instructions in a dynamically reconfigurable processor. In: International Conference on Field Programmable Logic and Applications, pp. 203–208. IEEE (2008)

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