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Improving the Performance of Selected MPI Collective Communication Operations on InfiniBand Networks

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http://nbn-resolving.de/urn:nbn:de:swb:ch1-200701538

Kurzfassung in Englisch

The performance of collective communication
operations is one of the deciding factors in
the overall performance of a MPI application.
Open MPI's component architecture offers an easy
way to implement new algorithms for collective
operations, but current implementations use the
point-to-point components to access the
InfiniBand network. Therefore it is tried to
improve the performance of a collective component
by accessing the InfiniBand network directly.
This should avoid overhead and make it possible
to tune the algorithms to this specific network.
The first part of this work gives a short overview
of the InfiniBand Architecture and Open MPI. In
the next part several models for parallel
computation are analyzed. Afterwards various
algorithms for the MPI_Scatter, MPI_Gather and
MPI_Allgather operations are presented. The
theoretical performance of the algorithms is
analyzed with the LogfP and LogGP models.
Selected algorithms are implemented
as part of an Open MPI collective component.
Finally the performance of different algorithms and
different MPI implementations is compared. The test
results show, that the performance of the
operations could be improved for several message
and communicator size ranges.

weitere Metadaten

Schlagwörter
InfiniBand
Schlagwörter
Kollektive Operationen
Schlagwörter
LogP Modell
Schlagwörter
MPI_Allgather
Schlagwörter
MPI_Gather
Schlagwörter
MPI_Scatter
Schlagwörter
Open MPI
SWD SchlagworteHochleistungsrechnen
SWD SchlagworteMPI <Schnittstelle>
SWD SchlagworteNetzwerk
DDC Klassifikation004
Institution(en) 
HochschuleTU Chemnitz
FakultätFakultät für Informatik
BetreuerDipl.-Inf. Torsten Hoefler
GutachterProf. Dr.-Ing. Wolfgang Rehm
DokumententypDiplomarbeit
SpracheEnglisch
Tag d. Einreichung (bei der Fakultät)30.04.2007
Veröffentlichungsdatum (online)23.09.2007
persistente URNurn:nbn:de:swb:ch1-200701538

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