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Performance prediction of scientific applications on heterogeneous HPC architectures

Höck, Malte

Abstract (englisch):

At universities are often several High Performance Computing (HPC)-systems provided.
Either their own or through partner universities. Thus, there is an interest to find out on
which system an application can be executed best. These platforms can consist of different
generations of a vendor or a completely different CPU architecture.
In this thesis, six different Intel processor generations are compared and the theoretical
performance is calculated. Afterwards, many different benchmarks are compared with the
theoretical computing performance to see if the measured computing performance has
achieved the same level as the theoretical computing performance.
Unfortunately, this did not work out very well. There was a strong increase in the
newer generations in various benchmarks, but not to the level that was expected with the
theoretical computing performance. This is probably due to the fact that the theoretical
computing performance was determined with the CPU’s base frequency. However, when
using vector extensions, such as SSE, AVX or AVX512, the CPU clock frequency are lower
than with calculations without vector expansion.
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Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Hochschulschrift
Publikationsdatum 22.09.2021
Sprache Englisch
Identifikator KITopen-ID: 1000137239
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Verlag Karlsruher Institut für Technologie (KIT)
Umfang IX, 63 S.
Art der Arbeit Abschlussarbeit - Master
Prüfungsdaten 22.9.2021
Referent/Betreuer Streit, A.
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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