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The client data will usually contain pointer to the filter itself which allows the function to retrieve filter’s input and output objects. In the simplest case the client data will be the pointer to the filter alone. Lets assume that the function void ScaleBy10 (void *arg); is going to be used by the filter. vtk"); 13 14 filter = vtkProgrammableFilter::New(); filter->SetExecuteMethod (ScaleBy10, (void*)filter); 15 16 17 // connect objects to form the pipe filter->SetInput(reader->GetOutput()): writer->SetInput(filter->GetUnstructuredGridOutput()); 18 19 // initialize pipe processing writer->Update(); 20 21 22 23 24 } writer->Delete(); filter->Delete reader->Delete(); return 0; Note the line 14 where as we said we pass pointer to filter object as a client data.
For smaller engineering problems it would be nice to have result as fast as a draw a mouse to a new pixel. Considering the finite element modelling, one of the essential problems, which we face in software development, is the parallelization of the existing sequential codes, which very often are developed by years. The question arises if is it worthy done and how great effort is required. Advantages and difficulties of the parallelization of the finite element method package are presented and discussed in the paper.
Demmel, Applied numerical linear algebra, 1997  J. M. M. Dłuzewski, Nonlinear problems during consolidation process , Advanced Numerical Applications and Plasticity in Geomechanics ed. V. Griffiths, and G. M. Dłuzewski, HYDRO-GEO - finite element package for geotechnics , hydrotechnics and environmental engineering, Warsaw 1997 (in Polish) 34 Felicja Okulicka - Dłuzewska  V. Hycke, Parallel Preconditioning with Sparse Approximate Inverses , SIAM Journal of Sci. Schrefler, The Finite Element Method in the Static and Dynamic Deformation and Consolidation of Porous Media , John Wiley Sons, 1998  MPI: A Message Passing Interface Standard , June 1995  F.