Unsteady turbomachinery computations using massively parallel platforms

Edwin van der Weide*, Georgi Kalitzin, Jörg Schlüter, Juan J. Alonso

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

104 Citations (Scopus)

Abstract

The CPU power offered by the latest generation of supercomputers is such that the unsteady simulation of the full wheel of a compressor or turbine is now within reach. This CPU power is mainly obtained by increasing the number of processors beyond several thousands, e.g. the BlueGene/L computer of Lawrence Livermore National Laboratory has approximately 130,000 processors. Consequently extreme care must be taken when the simulation codes are ported to these platforms. This paper discusses the computer scientific aspects of simulating unsteady turbomachinery flows on massively parallel systems when multi-block structured grids are used. Load balance, parallel IO and search algorithms are addressed, especially for the case where the number of processors is larger than the number of blocks, i.e. when blocks must be split during runtime. Preliminary results for cases with more than 200 million nodes running on 1,800 processors are presented.

Original languageEnglish
Title of host publication44th AIAA Aerospace Sciences Meeting, Reno, Nevada, 9-12 January 2006
Subtitle of host publicationCollection of Technical Papers
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Pages4904-4919
Number of pages16
Volume7
ISBN (Electronic)978-1-62410-039-0
ISBN (Print)978-1-56347-807-9
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event44th AIAA Aerospace Sciences Meeting 2006 - Reno, United States
Duration: 9 Jan 200612 Jan 2006
Conference number: 44

Conference

Conference44th AIAA Aerospace Sciences Meeting 2006
CountryUnited States
CityReno
Period9/01/0612/01/06

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  • Cite this

    van der Weide, E., Kalitzin, G., Schlüter, J., & Alonso, J. J. (2006). Unsteady turbomachinery computations using massively parallel platforms. In 44th AIAA Aerospace Sciences Meeting, Reno, Nevada, 9-12 January 2006: Collection of Technical Papers (Vol. 7, pp. 4904-4919). American Institute of Aeronautics and Astronautics Inc. (AIAA). https://doi.org/10.2514/6.2006-421