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Document type:
Bachelorarbeit
Author(s):
Sven Hingst
Title:
Shared-Memory Parallelization of a Parallel Combination Technique Framework
Translated title:
Shared-Memory Parallelisierung eines parallelen Kombinationstechnikframeworks
Abstract:
Numerically solving high dimensional partial differential equations(PDEs) is computationally difficult due to the curse of dimensionality. The sparse grid combination technique partially mitigates this problem. A highly parallel framework implementing this technique is the distributed combigrid module of SG++ which is currently only parallelized with message passing. Combining message passing with shared memory parallelization often yields better performance. In this thesis shared-memory paralle...     »
Supervisor:
Hans-Joachim Bungartz
Advisor:
Michael Obersteiner
Year:
2019
Quarter:
4. Quartal
Year / month:
2019-11
Month:
Nov
Language:
en
Language from translation:
de
University:
Technical University of Munich
Faculty:
Fakultät für Informatik
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