![]() Goedbloed, J., Keppens, R., Poedts, S.: Computer simulations of solar plasmas. įrutos-Alfaro, F., Carboni-Mendez, R.: Magnetohydrodynamic equations (MHD) generation code. Kulikov, I.M., Chernykh, I.G., Snytnikov, A.V., Glinskiy, B.M., Tutukov, A.V.: AstroPhi: a code for complex simulation of the dynamics of astrophysical objects using hybrid supercomputers. Schneider, E.E., Robertson, B.E.: Cholla: a new massively-parallel hydrodynamics code for astrophysical simulation. Kulikov, I.: Gpupegas: a new GPU-accelerated hydrodynamic code for numerical simulations of interacting galaxies. Schive, H.-Y., Tsai, Y.-C., Chiueh, T.: Gamer: a graphic processing unit accelerated adaptive-mesh-refinement code for astrophysics. Murphy, J.W., Burrows, A.: BETHE-hydro: an arbitrary Lagrangian-Eulerian multi-dimensional hydrodynamics code for astrophysical simulations. Hopkins, P.F.: GIZMO: a new class of accurate, mesh-free hydrodynamic simulation methods. Springel, V.: E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh. ![]() Teyssier, R.: A new high resolution code called RAMSES. īryan, G.L., Norman, M.L., O’Shea, B.W., et al.: ENZO: an adaptive mesh refinement code for astrophysics. Mignone, A., Bodo, G., Massaglia, S., Matsakos, T., Tesileanu, O., Zanni, C., Ferrari, A.: PLUTO: a numerical code for computational astrophysics. Stone, J.M., Gardiner, T.A., Teuben, P., Hawley, J.F., Simon, J.B.: Athena: a new code for astrophysical MHD. Stone, J.M., Norman, M.L.: ZEUS-2D: a radiation magnetohydrodynamics code for astrophysical flows in two space dimensions. Steinmetz, M.: GRAPESPH: cosmological smoothed particle hydrodynamics simulations with the special-purpose hardware GRAPE. Wadsley, J.W., Stadel, J., Quinn, T.: Gasoline: a flexible, parallel implementation of TreeSPH. Volker, S.: The cosmological simulation code GADGET-2. An example of solving the problem of modeling the spiral instability evolution in a protostellar disk based on the proposed approach is given. The formalization of these rules is described, and their application for constructing a solution scheme of the problem according to the user’s specification is shown. This paper discusses in detail the issues related to the formation of inference rules for solving astrophysical problems. The system includes a knowledge base and an expert system based on the ontological representation of numerical methods, computing architectures, and inference rules that connect them. We are developing an intelligent support system for solving mathematical physics problems on supercomputers. The current state of the methods for solving computational problems of mathematical physics and supercomputer systems poses a complicated task for the researcher associated with the choice of numerical methods and a multicore computer architecture for efficiently solving the problem in a reasonable time with the required accuracy.
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