Peta-Scale Hierarchical Hybrid Multigrid Using Hybrid Parallelization

Beitrag in einem Sammelwerk


Details zur Publikation

Autor(en): Gmeiner B, Rüde U, Wasniewski J
Titel Sammelwerk: Large-Scale Scientific Computing
Verlag: Springer
Verlagsort: Berlin, Heidelberg, New York
Jahr der Veröffentlichung: 2014
Titel der Reihe: Lecture Notes in Computer Science
Band: 8353
Seitenbereich: 439-447
ISBN: 978-3-662-43879-4
ISSN: 1611-3349


Abstract

In this article we present a performance study of our finite element package Hierarchical Hybrid Grids (HHG) on current European supercomputers. HHG is designed to close the gap between the flexibility of finite elements and the efficiency of geometric multigrid by using a compromise between structured and unstructured grids. A coarse input finite element mesh is refined in a structured way, resulting in semi-structured meshes. Within this article we compare and analyze the efficiencies of the stencil-based code on those clusters. © 2014 Springer-Verlag.


FAU-Autoren / FAU-Herausgeber

Gmeiner, Björn Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Zitierweisen

APA:
Gmeiner, B., Rüde, U., & Wasniewski, J. (2014). Peta-Scale Hierarchical Hybrid Multigrid Using Hybrid Parallelization. In Large-Scale Scientific Computing (pp. 439-447). Berlin, Heidelberg, New York: Springer.

MLA:
Gmeiner, Björn, Ulrich Rüde, and J. Wasniewski. "Peta-Scale Hierarchical Hybrid Multigrid Using Hybrid Parallelization." Large-Scale Scientific Computing Berlin, Heidelberg, New York: Springer, 2014. 439-447.

BibTeX: 

Zuletzt aktualisiert 2018-16-08 um 15:38