RAMZESKP TechniqueRAMZESKP technique [1] is meant for computation of multicomponent heatconducting media motion in EulerLagrange coordinates using distributed memory parallel computational systems.
The technique is based on the following principles:
• physical processes and space directions splitting;
• use of gas dynamics and heat conduction equations in Cartesian and curvilinear coordinate systems, as well as in EulerLagrange variables;
• use of implicit finitedifference time approximation as heat conduction equation, as well as gas dynamics equations;
• decomposition of problem geometry into fragments interacting through boundary conditions transfer;
• use of lumping and Yangs methods to reconstruct interfaces in computing matter flows from mixed cells.
Fractional step method developed by N.N. Yanenko is widely used in RAMZESKP technique.
The specific feature of this technique is the use of parallel computations at every stage (preliminary stage, computation and results analysis) of problem run on multiprocessor distributed memory computer.
Nonreconstructible submatrix decomposition of data matrix was used when developing parallelization methods within the time step. In addition to advantages of this technique, there are difficulties connected with run parallelization. One of the first works on run “parallelization” was published in 1978 by N.N. Yanenko [2].
The own version of parallelpipeline method has been developed for RAMZESKP run parallelization. The peculiarities of the suggested implementation (automatic control of pipeline piece number, independence of cross runs, independence of grid sheet runs, etc.) are described in the report. The developed parallelization methods allowed the use of modern highperformance multiprocessor computers (5060% for the time step of several seconds, the performance increases up to 6080% for a longer time step).
1. Bykov A.N., Veselov R.A., Voronin B.L., Erofeev А.М. RAMZESKP Technique for Computation of Multicomponent HeatConducting Space Motions in EulerLagrange Coordinates. // RFNCVNIIEF Proceedings. 2008. Isue 13. (in Russian)
2. Yanenko N.N., Konovalov A.N., Shustov G.V. On Organization of Parallel Computations and Run “Parallelization”. – Rep. Numerical Methods of Continuum Mechanics. Novosibirsk, 1978, V.9, N 7, Pp.139146. (in Russian)
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