Document Type

Article

Publication Date

2024

DOI

10.1007/s00366-024-01994-0

Publication Title

Engineering with Computers

Volume

Article in Press

Pages

27 pp.

Abstract

Efficient and robust anisotropic mesh adaptation is crucial for Computational Fluid Dynamics (CFD) simulations. The CFD Vision 2030 Study highlights the pressing need for this technology, particularly for simulations targeting supercomputers. This work applies a fine-grained speculative approach to anisotropic mesh operations. Our implementation exhibits more than 90% parallel efficiency on a multi-core node. Additionally, we evaluate our method within an adaptive pipeline for a spectrum of publicly available test-cases that includes both analytically derived and error-based fields. For all test-cases, our results are in accordance with published results in the literature. Support for CAD-based data is introduced, and its effectiveness is demonstrated on one of NASA’s High-Lift prediction workshop cases.

Rights

© 2024 The Authors.

This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Data Availability

Article states: "Not applicable for this work."

Original Publication Citation

Tsolakis, C., & Chrisochoides, N. (2024). Speculative anisotropic mesh adaptation on shared memory for CFD applications. Engineering with Computers. Advance online publication. https://doi.org/10.1007/s00366-024-01994-0

ORCID

0000-0002-0656-9631 (Tsolakis), 0000-0003-3088-0187 (Chrisochoides)

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