Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model
In this study, we exploit the advantages of Berkeley's Unified Parallel C (UPC) programming model to optimize the speedup performance of computational hydrodynamic (CHD) simulations, which constitute an important class of modelling tool for hydraulic engineering applications. A two-dimensional...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Online Access: | https://hdl.handle.net/10356/160937 |
| _version_ | 1811691803302166528 |
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| author | Chew, Alvin Wei Ze Law, Adrian Wing-Keung Vu, Tung Thanh |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Chew, Alvin Wei Ze Law, Adrian Wing-Keung Vu, Tung Thanh |
| author_sort | Chew, Alvin Wei Ze |
| collection | NTU |
| description | In this study, we exploit the advantages of Berkeley's Unified Parallel C (UPC) programming model to optimize the speedup performance of computational hydrodynamic (CHD) simulations, which constitute an important class of modelling tool for hydraulic engineering applications. A two-dimensional (2D) numerical model, termed UPC-CHD, is developed using the conservative forms of the Navier-Stokes (NS) continuity, momentum, and energy equations for viscous, incompressible, and adiabatic flow cases with the UPC model. The following numerical schemes are adopted for discretization in UPC-CHD: (1) a 2-step Lax-Wendroff explicit scheme for the temporal term; (2) a Roe linear approximation with a 3rd-order upwind biased algorithm for the convective fluxes; and (3) a central-differencing scheme for the viscous fluxes. The obtained speedup results demonstrate that UPC-CHD with the affinity principle achieves good speedup performance when compared to the serial algorithm, with an average value of 0.8 per unit core (thread) until 100 processor cores when simulating the Couette, Blasius boundary layer, and Poiseuille flows on a 2D domain of 100 million grids. Finally, we also investigate the effects of varying domain size on the speedup performances of UPC-CHD for the same flow conditions. |
| first_indexed | 2024-10-01T06:25:42Z |
| format | Journal Article |
| id | ntu-10356/160937 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:25:42Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1609372022-08-08T04:15:47Z Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model Chew, Alvin Wei Ze Law, Adrian Wing-Keung Vu, Tung Thanh School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Environmental Process Modelling Centre Engineering::Civil engineering Parallel Computing Computational Hydrodynamics In this study, we exploit the advantages of Berkeley's Unified Parallel C (UPC) programming model to optimize the speedup performance of computational hydrodynamic (CHD) simulations, which constitute an important class of modelling tool for hydraulic engineering applications. A two-dimensional (2D) numerical model, termed UPC-CHD, is developed using the conservative forms of the Navier-Stokes (NS) continuity, momentum, and energy equations for viscous, incompressible, and adiabatic flow cases with the UPC model. The following numerical schemes are adopted for discretization in UPC-CHD: (1) a 2-step Lax-Wendroff explicit scheme for the temporal term; (2) a Roe linear approximation with a 3rd-order upwind biased algorithm for the convective fluxes; and (3) a central-differencing scheme for the viscous fluxes. The obtained speedup results demonstrate that UPC-CHD with the affinity principle achieves good speedup performance when compared to the serial algorithm, with an average value of 0.8 per unit core (thread) until 100 processor cores when simulating the Couette, Blasius boundary layer, and Poiseuille flows on a 2D domain of 100 million grids. Finally, we also investigate the effects of varying domain size on the speedup performances of UPC-CHD for the same flow conditions. Nanyang Technological University This research study is funded by the internal core funding from the Nanyang Environment and Water Research Institute (NEWRI),Nanyang Technological University (NTU), Singapore. 2022-08-08T04:15:47Z 2022-08-08T04:15:47Z 2020 Journal Article Chew, A. W. Z., Law, A. W. & Vu, T. T. (2020). Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model. Journal of Computing in Civil Engineering, 34(2), 06020001-1-06020001-5. https://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000876 0887-3801 https://hdl.handle.net/10356/160937 10.1061/(ASCE)CP.1943-5487.0000876 2-s2.0-85077955724 2 34 06020001-1 06020001-5 en Journal of Computing in Civil Engineering © 2020 American Society of Civil Engineers. All rights reserved. |
| spellingShingle | Engineering::Civil engineering Parallel Computing Computational Hydrodynamics Chew, Alvin Wei Ze Law, Adrian Wing-Keung Vu, Tung Thanh Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title | Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title_full | Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title_fullStr | Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title_full_unstemmed | Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title_short | Optimizing speedup performance of computational hydrodynamic simulations with UPC programming model |
| title_sort | optimizing speedup performance of computational hydrodynamic simulations with upc programming model |
| topic | Engineering::Civil engineering Parallel Computing Computational Hydrodynamics |
| url | https://hdl.handle.net/10356/160937 |
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