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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