Sequential and Parallel Algorithms to Compute Turbulent Coherent Structures

Sergio Gandía-Barberá, Andres Cremades, Ricardo Vinuesa, Sergio Hoyas () and María Jezabel Pérez-Quiles
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Sergio Gandía-Barberá: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain
Andres Cremades: FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Ricardo Vinuesa: FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Sergio Hoyas: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain
María Jezabel Pérez-Quiles: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain

Mathematics, 2024, vol. 12, issue 21, 1-14

Abstract: The behavior of turbulent flows remains a significant unsolved problem in physics. Recently, a large quantity of effort has been directed toward understanding the non-linear interactions of the different flow structures in order to address this challenge. In this paper, different implementations of one exact method for identifying these structures are analyzed. This includes two sequential algorithms and a parallelizable one, developed to handle large-scale data efficiently. The new parallel algorithm offers significant advantages in handling the computational demands of large simulations, providing a more scalable solution for future research.

Keywords: DNS; wall turbulence; turbulent structures; coherent structures; high-performance computing (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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