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Dokumenttyp:
Studienarbeit
Art der Studienarbeit:
Theoretisch
Autor(en):
Ahmed Fouad
Titel:
Optimizing GPU Offloading with CUDA for a Patch-based Hyperbolic Finite Volume Solver in ExaHyPE
Abstract:
The present study focuses on optimizing GPU offloading techniques within the Peano computational framework for adaptive mesh refinement (AMR) in Euler simulations using the ExaHyPE 2 engine. We first investigate the ExaHyPE 2 finite volumes Rusanov kernels to evolve the system of Euler equations using the CUDA framework. Then, we systematically identify and mitigate performance bottlenecks in the kernels’ offloading process, yielding measurable overall improvements in the GPU computational effic...     »
Aufgabensteller:
Prof. Dr. Michael Bader
Betreuer:
Mario Wille
Jahr:
2023
Quartal:
4. Quartal
Jahr / Monat:
2023-10
Monat:
Oct
Sprache der Übersetzung:
en
Hochschule / Universität:
Technical University of Munich
TUM Einrichtung:
TUM School of Computation, Information and Technology
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