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Performance Evaluation of Parallel Haemodynamic Computations on Heterogeneous Clouds

In: Computing and Informatics, vol. 39, no. 4
Oleg Bystrov - Arnas Kačeniauskas - Ruslan Pacevič - Vadimas Starikovičius - Algirdas Maknickas - Eugeniuš Stupak - Aleksandr Igumenov

Details:

Year, pages: 2020, 695 - 723
Language: eng
Keywords:
Cloud computing, parallel computing, haemodynamic flows, parallel performance analysis, energy consumption, bi-objective optimization problem
About article:
The article presents performance evaluation of parallel haemodynamic flow computations on heterogeneous resources of the OpenStack cloud infrastructure. The main focus is on the parallel performance analysis, energy consumption and virtualization overhead of the developed software service based on ANSYS Fluent platform which runs on Docker containers of the private university cloud. The haemodynamic aortic valve flow described by incompressible Navier-Stokes equations is considered as a target application of the hosted cloud infrastructure. The parallel performance of the developed software service is assessed measuring the parallel speedup of computations carried out on virtualized heterogeneous resources. The performance measured on Docker containers is compared with that obtained by using the native hardware. The alternative solution algorithms are explored in terms of the parallel performance and power consumption. The investigation of a trade-off between the computing speed and the consumed energy is performed by using Pareto front analysis and a linear scalarization method.
How to cite:
ISO 690:
Bystrov, O., Kačeniauskas, A., Pacevič, R., Starikovičius, V., Maknickas, A., Stupak, E., Igumenov, A. 2020. Performance Evaluation of Parallel Haemodynamic Computations on Heterogeneous Clouds. In Computing and Informatics, vol. 39, no.4, pp. 695-723. 1335-9150. DOI: https://doi.org/10.31577/cai_2020_4_695

APA:
Bystrov, O., Kačeniauskas, A., Pacevič, R., Starikovičius, V., Maknickas, A., Stupak, E., Igumenov, A. (2020). Performance Evaluation of Parallel Haemodynamic Computations on Heterogeneous Clouds. Computing and Informatics, 39(4), 695-723. 1335-9150. DOI: https://doi.org/10.31577/cai_2020_4_695
About edition:
Publisher: Ústav informatiky SAV
Published: 31. 12. 2020