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Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
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Master thesis : Discrete Element Simulation of Ice Particle Interaction: Migration to GPU Computing and Subsequent Validation

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Bristy, Kaniz Fatema ULiège
Promotor(s) : Hisette, Quentin
Date of defense : 15-Sep-2022 • Permalink : http://hdl.handle.net/2268.2/16560
Details
Title : Master thesis : Discrete Element Simulation of Ice Particle Interaction: Migration to GPU Computing and Subsequent Validation
Author : Bristy, Kaniz Fatema ULiège
Date of defense  : 15-Sep-2022
Advisor(s) : Hisette, Quentin 
Committee's member(s) : Ferrant, Pierre 
Bonnefoy, Félicien 
Language : English
Number of pages : 51
Keywords : [en] DEM, GPU, CUDA, Time consumption
Discipline(s) : Engineering, computing & technology > Mechanical engineering
Target public : Researchers
Professionals of domain
Student
General public
Other
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil mécanicien, à finalité spécialisée en "Advanced Ship Design"
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] A numerical simulation code using Discrete Element Method has been developed by HSVA,
which can generate brash ice and ice ridges as well as analyse ship navigation through ice
channels. The current version is simulating the problem in model scale for ease of validation.
This thesis aims to enhance the software's capabilities, reduce the computational time, and to
enhance performance and capabilities by modifying internal source code.
To improve the performance GPU programming has been introduced. GPU programming
extension CUDA, developed by NVIDIA, has led to numerous advances in computing over the
last few years. The CUDA API makes it relatively easy for users to access the graphics card
hardware, which allows users to perform parallel computations with thousands of CUDA cores.
The following report investigates the methodology and advantages of using the CUDA API for
DEM computations. In order to achieve this, existing CPU code had to be rewritten for the
GPU. Both implementations show significant improvements with regard to iteration time, and
performance depending on of GPU architecture.
Additionally, it has been demonstrated that the GPU can be sped up by simply varying certain
parameters, which boosts the code's performance overall. Another investigation dives into the
overhead associated with programming memory intensive scripts to the GPU and shows what
effect this has on the total calculation times for the application. Further a more complex IceStructure interaction algorithm can improve the quality of results.
In this case a different number of simulations is done varying the element number to find out
the dependency of the elements to the computational time. Eventually, several tests were
conducted for different types of brash ice and Ice ridge channels to see how the software would
react.


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Author

  • Bristy, Kaniz Fatema ULiège Université de Liège > Master ing. civ. méc. (EMSHIP+)

Promotor(s)

Committee's member(s)

  • Ferrant, Pierre
  • Bonnefoy, Félicien ECN
  • Total number of views 5
  • Total number of downloads 51










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