Processing conversion and parallel control platform: a parallel approach to serial hydrodynamic simulators for complex hydrodynamic simulations
Author(s) -
Yizi Shang,
Yanxiang Guo,
Ling Shang,
Yuntao Ye,
Ronghua Liu,
Guangqian Wang
Publication year - 2016
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2016.204
Subject(s) - computer science , grid , distributed computing , grid computing , supercomputer , cluster (spacecraft) , computational science , complex system , parallel processing , code (set theory) , parallel computing , systems engineering , computer architecture , engineering , artificial intelligence , operating system , geometry , mathematics , set (abstract data type) , programming language
In this paper, a processing conversion and parallel control platform (PCsP) is proposed for transitioning serial hydrodynamic simulators to a cluster-computing system. We previously undertook efforts to promote the research and development of this type of platform and to demonstrate and commercialize it. Our PCsP provide distributed and parallel patterns, a centralized architecture, and user support. To validate our employed methodology and highlight its simplicity, we adopted the technology in various applications based on multi-grid algorithms. The methodology was shown to be reliable and feasible across computational domains, partitioning strategies, and multi-grid codes. Furthermore, its effectiveness was demonstrated using a complex engineering case in addition to code based on slightly less complex mathematical models. Eventual transition to a cluster-computing system will require further investigation of the impact of different model combinations on calculation accuracy, efficiency of operating models, and PCsP functional development.
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