Engineering-Based Thermal CFD Simulations on Massive Parallel Systems

Jérôme Frisch, Ralf-Peter Mundani, Ernst Rank, Christoph van Treeck

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)235-261
Number of pages27
JournalComputation
Volume3
Issue number2
DOIs
StatePublished - May 22 2015
Externally publishedYes

Fingerprint Dive into the research topics of 'Engineering-Based Thermal CFD Simulations on Massive Parallel Systems'. Together they form a unique fingerprint.

Cite this