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ACAT-2002 The Evolutionary Model of Physics Large-Scale Simulation on Parallel Dataflow Architecture Dr. Andrey V. Nikitin Dr. Ludmila I. Nikitina Lomonosov Moscow State University
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ACAT-2002 Physics Large-Scale Simulation Nonlinear 3D simulation of experimentally observed magnetohydrodynamic (MHD) burst in the DIII-D tokamak Fast (~10 -6 sec) processes Slow (~10 -2 sec) processes 3D calculations Different scales for time and space
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ACAT-2002 Physics Large-Scale Simulation Model: V – velocity B – magnetic field P - pressure
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ACAT-2002 Physics Large-Scale Simulation Numerical model: straight field line coordinate system
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ACAT-2002 Physics Large-Scale Simulation Requirements to the numerical simulation process: Inversion of matrixes 10 6 Near real time Evolution of simulation process
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ACAT-2002 Dataflow model of calculations Dataflow graph decomposition to layers
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ACAT-2002 Dataflow model of calculations
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ACAT-2002 Dataflow model of calculations Write time Search time Total time Effectiveness
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ACAT-2002 Dataflow model of calculations Goal:
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ACAT-2002 Genetic algorithm Algorithm Partition matrix Chromosome x’ =
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ACAT-2002 MHD dataflow graph
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ACAT-2002 Genetic algorithm Convergence of GA (mutation)
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ACAT-2002 Genetic algorithm vs. MK Convergence of GA and MK
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ACAT-2002 Conclusion GA was used to organize evolutionary computations of physics large-scale simulation on parallel dataflow architecture GA allows to find optimal distribution of data by modules with high effectiveness Code NFTC (1 iteration): SUN Ultra 400 Mhz/2 FPU ~ 50s, for dataflow ~ 4·10 -2 s. Total time of typical computations: Current (SUN Ultra Enterprise) – 30 hrs Dataflow (modules - 10 2,module capacity - 10 6,PE – 10 4 /10 GFlops) – real time
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ACAT-2002 Questions?
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