GPU Accelerating Algorithms for Three-Layered Heat Conduction Simulations

Autor: Nicolás Murúa, Aníbal Coronel, Alex Tello, Stefan Berres, Fernando Huancas
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematics, Vol 12, Iss 22, p 3503 (2024)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math12223503
Popis: In this paper, we consider the finite difference approximation for a one-dimensional mathematical model of heat conduction in a three-layered solid with interfacial conditions for temperature and heat flux between the layers. The finite difference scheme is unconditionally stable, convergent, and equivalent to the solution of two linear algebraic systems. We evaluate various methods for solving the involved linear systems by analyzing direct and iterative solvers, including GPU-accelerated approaches using CuPy and PyCUDA. We evaluate performance and scalability and contribute to advancing computational techniques for modeling complex physical processes accurately and efficiently.
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