A Geometric Multigrid Solver on Tsubame 2.0

Beitrag in einem Sammelwerk
(Originalarbeit)


Details zur Publikation

Autor(en): Köstler H, Feichtinger C, Rüde U, Aoki T
Herausgeber: Bruhn A, Pock Th, Tai X-C
Titel Sammelwerk: Efficient Algorithms for Global Optimisation Methods in Computer Vision
Verlag: Springer
Verlagsort: Berlin, Heidelberg, New York
Jahr der Veröffentlichung: 2014
Titel der Reihe: Lecture Notes in Computer Science
Band: 8293
Seitenbereich: 155-173
ISBN: 978-3-642-54774-4
ISSN: 1611-3349
Sprache: Englisch


Abstract


Tsubame 2.0 is currently one of the largest installed GPU clusters and number 5 in the Top 500 list ranking the fastest supercomputers in the world. In order to make use of Tsubame, there is a need to adapt existing software design concepts to multi-GPU environments. We have developed a modular and easily extensible software framework called waLBerla that covers a wide range of applications ranging from particulate flows over free surface flows to nano fluids coupled with temperature simulations and medical imaging. In this article we report on our experiences to extend waLBerla in order to support geometric multigrid algorithms for the numerical solution of partial differential equations (PDEs) on multi-GPU clusters. We discuss the software and performance engineering concepts necessary to integrate efficient compute kernels into our waLBerla framework and show first weak and strong scaling results on Tsubame for up to 1029 GPUs for our multigrid solver. © 2014 Springer-Verlag Berlin Heidelberg.



FAU-Autoren / FAU-Herausgeber

Feichtinger, Christian Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Köstler, Harald PD Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Autor(en) der externen Einrichtung(en)
Tokyo Institute of Technology


Zitierweisen

APA:
Köstler, H., Feichtinger, C., Rüde, U., & Aoki, T. (2014). A Geometric Multigrid Solver on Tsubame 2.0. In Bruhn A, Pock Th, Tai X-C (Eds.), Efficient Algorithms for Global Optimisation Methods in Computer Vision (pp. 155-173). Berlin, Heidelberg, New York: Springer.

MLA:
Köstler, Harald, et al. "A Geometric Multigrid Solver on Tsubame 2.0." Efficient Algorithms for Global Optimisation Methods in Computer Vision Ed. Bruhn A, Pock Th, Tai X-C, Berlin, Heidelberg, New York: Springer, 2014. 155-173.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 00:39