Implementation of a three dimensional three-phase fluid flow (“oil–water–gas”) numerical model in LuNA fragmented programming system

To overcome the difficulties of efficient scalable numerical algorithms implementation on multicomputers with a large number of computing nodes, LuNA system is being developed. LuNA automatically generates a code related to communications, resources management and dynamic workload balancing, thus si...

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Veröffentlicht in:The Journal of supercomputing Jg. 73; H. 2; S. 624 - 630
Hauptverfasser: Akhmed-Zaki, Darkhan, Lebedev, Danil, Perepelkin, Vladislav
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.02.2017
Springer Nature B.V
Schlagworte:
Algorithms
Compilers
Computational fluid dynamics
Computer Science
Computer simulation
Efficiency
Fluid flow
Interpreters
Mathematical models
Message passing
Numerical models
Parallel processing
Parallel programming
Processor Architectures
Programming Languages
Resource management
Three dimensional flow
Three dimensional models
Water purification
Fragmented programming
LuNA system
Thomas algorithm
Parallel algorithm study
ISSN:0920-8542, 1573-0484
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Zusammenfassung:To overcome the difficulties of efficient scalable numerical algorithms implementation on multicomputers with a large number of computing nodes, LuNA system is being developed. LuNA automatically generates a code related to communications, resources management and dynamic workload balancing, thus simplifying construction of parallel programs. To examine the efficiency of numerical model implementation, created with LuNA, a real application of a three-phase (oil, water and gas) fluid filtration simulation is studied. The application algorithm is parallelized and implemented using LuNA and conventional approach using MPI (Message Passing Interface). A comparative performance testing of the two implementations is done. The results show that LuNA implementation is easier to develop, but its efficiency is significantly lower than the efficiency of MPI program, but manual tuning of the program execution makes its efficiency comparable to that of MPI program.
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ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-016-1780-1