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Computation 2015, 3(2), 235-261; doi:10.3390/computation3020235

Engineering-Based Thermal CFD Simulations on Massive Parallel Systems

1
Energy Efficient and Sustainable Building E3D, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germany
2
Computation in Engineering, Technische Universität München, Arcisstraße 21, 80333 München, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Demos T. Tsahalis
Received: 31 December 2014 / Accepted: 11 May 2015 / Published: 22 May 2015
(This article belongs to the Special Issue Computational Fluid Dynamics in Civil Engineering)
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Abstract

The development of parallel Computational Fluid Dynamics (CFD) codes is a challenging task that entails efficient parallelization concepts and strategies in order to achieve good scalability values when running those codes on modern supercomputers with several thousands to millions of cores. In this paper, we present a hierarchical data structure for massive parallel computations that supports the coupling of a Navier–Stokes-based fluid flow code with the Boussinesq approximation in order to address complex thermal scenarios for energy-related assessments. The newly designed data structure is specifically designed with the idea of interactive data exploration and visualization during runtime of the simulation code; a major shortcoming of traditional high-performance computing (HPC) simulation codes. We further show and discuss speed-up values obtained on one of Germany’s top-ranked supercomputers with up to 140,000 processes and present simulation results for different engineering-based thermal problems. View Full-Text
Keywords: parallel computing; computational fluid dynamics; Navier–Stokes equations; multi-grid-like solving approach; thermal coupling; Boussinesq approximation parallel computing; computational fluid dynamics; Navier–Stokes equations; multi-grid-like solving approach; thermal coupling; Boussinesq approximation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Frisch, J.; Mundani, R.-P.; Rank, E.; van Treeck, C. Engineering-Based Thermal CFD Simulations on Massive Parallel Systems. Computation 2015, 3, 235-261.

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