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Detail publikace
NIKL, V. JAROŠ, J.
Originální název
Parallelisation of the 3D Fast Fourier Transform Using the Hybrid OpenMP/MPI Decomposition
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The 3D fast Fourier transform (FFT) is the heart of many simulation methods. Although the efficient parallelisation of the FFT has been deeply studied over last few decades, many researchers only focused on either pure message passing (MPI) or shared memory (OpenMP) implementations. Unfortunately, pure MPI approaches cannot exploit the shared memory within the cluster node and the OpenMP cannot scale over multiple nodes. This paper proposes a 2D hybrid decomposition of the 3D FFT where the domain is decomposed over the first axis by means of MPI while over the second axis by means of OpenMP. The performance of the pro-posed method is thoroughly compared with the state of the art libraries (FFTW, PFFT, P3DFFT) on three supercomputer systems with up to 16k cores. The experimental results show that the hybrid implementation offers 10-20% higher performance and better scaling especially for high core counts.
Klíčová slova
Fast Fourier Transform, Decompostion, Hybrid Paralellisation, OpenMP, MPI.
Autoři
NIKL, V.; JAROŠ, J.
Rok RIV
2014
Vydáno
19. 10. 2014
Nakladatel
Springer International Publishing
Místo
Heidelberg
ISBN
978-3-319-14895-3
Kniha
Mathematical and Engineering Methods in Computer Science
Edice
Lecture Notes in Computer Science
Strany od
100
Strany do
112
Strany počet
13
URL
https://www.fit.vut.cz/research/publication/10706/
BibTex
@inproceedings{BUT111848, author="Vojtěch {Nikl} and Jiří {Jaroš}", title="Parallelisation of the 3D Fast Fourier Transform Using the Hybrid OpenMP/MPI Decomposition", booktitle="Mathematical and Engineering Methods in Computer Science", year="2014", series="Lecture Notes in Computer Science", volume="8934", pages="100--112", publisher="Springer International Publishing", address="Heidelberg", doi="10.1007/978-3-319-14896-0\{_}9", isbn="978-3-319-14895-3", url="https://www.fit.vut.cz/research/publication/10706/" }