By Anton Schüller
This e-book includes the most result of the German undertaking POPINDA. It surveys the cutting-edge of commercial aerodynamic layout simulations on parallel structures. POPINDA is an acronym for moveable Parallelization of business Aerodynamic functions. This undertaking began in overdue 1993. The examine and improvement paintings invested in POPINDA corresponds to approximately 12 scientists operating full-time for the 3 and a part years of the venture. POPINDA was once funded by means of the German Federal Ministry for schooling, technology, examine and know-how (BMBF). The important objectives of POPINDA have been to unify and parallelize the block-structured aerodynamic stream codes of the German plane and to improve new algorithmic techniques to enhance the potency and robustness of those courses. The philosophy at the back of those objectives is that demanding and critical numerical appli cations akin to the prediction of the 3D viscous circulate round complete plane in aerodynamic layout can merely be performed effectively if some great benefits of glossy speedy numerical solvers and parallel excessive functionality desktops are mixed. this mixture is a "conditio sine qua non" if extra advanced purposes comparable to aerodynamic layout optimization or fluid constitution interplay difficulties must be solved. whilst being solved in a customary commercial aerodynamic layout method, such extra complicated purposes even require a considerable extra relief of computing instances. Parallel and vector pcs at the one facet and cutting edge numerical algorithms similar to multigrid at the different have enabled outstanding advancements in medical computing within the final 15 years.
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Extra info for Portable Parallelization of Industrial Aerodynamic Applications (POPINDA): Results of a BMBF Project
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But a grid block may have various sub-blocks and a sub-block may have several sub-blocks itself (see Fig. 4). 4: Sub-blocks within a mesh block - schematic view. g. in regions of large discretization errors. This 31 adaptive mesh refinement approach can be realized if the regions of sub-block refinement are determined automatically during the iteration by suitable sensor functions. In general, sub-blocks cover only part of the computational domain. Boundary conditions on their outer block boundaries must be defined so that there is no algorithmic influence on the overall flow solution.
Since it is too expensive to optimize this update sequence and to determine the correct areas for the transfer of grid function values to neighbor blocks within each update, these tasks are performed only once by CLIC-routines in the initialization phase of the application program. Within the solution process of the application program, the update of the overlap regions of all blocks is then performed by the call of a single CLIC-routine. In that call, the user specifies the number of the multigrid levels and can choose the number of grid functions to be simultaneously exchanged.