Izvorni znanstveni članak
https://doi.org/10.18048/2022.04.04
MPI Associated Scalability of Open-Source CFD Codes for Oil Spill Assessment
Gordan Janeš
orcid.org/0000-0002-5654-351X
; Center for Advanced Computing and Modelling, University of Rijeka, Radmile Matejčić 2, 51000 Rijeka
Ante Sikirica
; Center for Advanced Computing and Modelling, University of Rijeka, Radmile Matejčić 2, 51000 Rijeka
Luka Grbčić
orcid.org/0000-0003-0377-686X
; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka
Lado Kranjčević
; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka
Sažetak
General-purpose CFD codes have recently become an increasingly discussed alternative to standardized,
simplified and usually empirically calibrated specialized tools for pollution analyses. Commonly, CFD
codes tend to provide physically more sensible results and can indicate the underlying cause for a
given problem. Use for ecological problems, however, has usually been avoided due to the sizes
of computational domains and inherent complexity of the calculations that need to be conducted.
Adoption in recent years is mostly driven by significant improvements in computational capabilities
and advancements related to code and communication optimizations. Unfortunately, due to substantial
branching of codes and accompanying indispensable communication routines, especially in opensource
community, performance and consequently applicability of codes, can vary significantly. This
article aims to outline key limitations and quantify performance gains which can be obtained in a
high-performance computing environment through the use of different communication protocols, when
evaluating typical pollution problems such as oil spills. Obtained results indicate that savings of up
to 40% in computational time can be achieved, depending on the code and message passing interface
implementation for a problem in question, thus demonstrating the importance of communication
protocols.
Ključne riječi
Hrčak ID:
278661
URI
Datum izdavanja:
24.4.2022.
Posjeta: 1.151 *