Sergei N. Boldyrev

Russian Academy of Sciences, Moskva, Moscow, Russia

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Publications (5)0 Total impact

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    ABSTRACT: The paper presents the new versatile code designed by our team for applications of supercomputer systems to large-scale 3D simulations of problems appearing in experimental Pulsed Power Energetic (PPE) and High Energy Density Plasmas (HEDP). Because of the diversity of physical processes which should be taken into account and because of high degrees of spatial and temporal scale non-uniformities, these problems on the whole are so intricate and computationally expensive, that may be comprehensively studied by use of distributed high-performance (multi-Tflops) computing only, especially in 3D case. The development of parallel codes for HEDP-'multiphysics' simulations which would be able to facilitate a design of future experiments and to predict final parameters of the pinch plasmas is a real challenge for specialists in applied mathematics. The developed code (referred to as MARPLE-Magnetically Accelerated Radiative Plasma Explorer, 3D-version) is based on magnetohydrodynamic model in accordance with modern knowledge about multicharged pinch plasmas. Essential elements of this model are wide-range semi-empirical equations of state, electron-ion energy relaxation, energy dissipation, and radiative transfer. This is an object-oriented, parallel code designed for scientific simulations at systems performing distributed computations.
    No preview · Article · Jan 2012 · Advances in Parallel Computing

  • No preview · Article · Jan 2012
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    ABSTRACT: The subject of this paper is the computer simulation of transient processes in strongly radiative plasma, that refers to solving the problems of radiative magnetohydrodynamics. The program system MARPLE developed in IMM RAS is described, where the application of OOP and parallel computing is emphasized. The strategy and scheme of code parallelizing are explained, with the outcome being presented in the results of practical computations.
    Full-text · Conference Paper · Jan 2007
  • Mikhail V. Iakobovski · Sergei N. Boldyrev · Sergei A. Sukov
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    ABSTRACT: This chapter discusses the big unstructured mesh processing on multiprocessor computer systems. The use of unstructured meshes with a large number of nodes makes it possible to approximate a space near the three-dimensional bodies of irregular shape with sufficient accuracy, but in this case, a great computational capability is required. Multiprocessor systems with distributed memory gives required capabilities and makes it possible to expand computational capability unrestrictedly for all intents and purposes. As a rule, multiprocessor simulation with the use of an explicit difference scheme and a simple iteration method proceeds in accordance to the following algorithms: reading the mesh topology from the disk and sharing computational load among the processors, reading the mesh description and mesh functions and determining the necessary parameters for computation of mesh geometry, initialization of data structures for data exchange, simulation, writing simulation results to the disk, and analysis or visualization of the results.
    No preview · Article · Dec 2004
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    ABSTRACT: Modern problems in pulsed-power energetics issue a real challenge to the computer simulation theory and practice. High-performance computing is a promising technology for modeling complex multiscale nonlinear processes such as transient flows of strongly radiative multicharged plasmas. An essential part of such numerical investigation is devoted to the computer simulation of pinches resulted from electric explosion of cold matter, such as gas-puff jets, foam strings, or metallic wire arrays. The goal of numer-ical research in pulsed-power is to study the evolution of very intensive transient electric discharges and to perform a multiparametric optimization of future experimental schemes. These problems are known to be computationally very hard, so using high-performance computing is of great demand in the field. In this work the use of different approaches in parallel computing is considered in relation to radiative hydrodynamics simulation problems. Among the most common parallel techniques for gasdynamics, hydrodynamics, and MHD in particu-lar, numerical modeling on spatial meshes is the traditional geometric domain decomposition. At this, certain specificity of introducing parallelism into a complete program complex in our case relates to the object-oriented nature of MARPLE code, developed in IMM RAS and designed for numerical radiative magnetohydrodynamics simulation, which essentially employs C++ language facilities, such as poly-morphism, encapsulation, inheritance, and parametric programming. Special data structures based on the concept of topological complex have been elaborated to provide problem statement in an arbitrary domain, and for handling unstructured meshes, including dynamic mesh changes. Some of these struc-tures have to be adapted to allow for parallel computations and data exchanges, taking into account the requirement of keeping interprocessor communication adequately small.
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