While many solvers have been ported to parallel machines, grid generators have left behind. Still the preprocessing step of mesh generation remains a sequential bottleneck in the simulation cycle. That is why the need for developing of stable 3D parallel grid generator is well-justified. Work<!-- inDeleted thisimage direction is carried out by several institutions.removed: [http[Image://www.itwm.fhg.deBearcap Fraunhofer Institute for Industrial Mathematics] '''[http://wwwpng.itwm.fhg.de/en/hpc__partgen/partgen/~parTgenpng|left|250px|Decomposition parTgen]'''of -bearing partitionercap and parallel tetrahedral mesh generatorgeneration -on partitioner32 andCPUs]] parallel tetrahedral mesh generator is an example of decoupled method developed and implemented by Evgeny Ivanov et al. <ref>E.G. Ivanov, H. Andrae and A.N. Kudryavtsev, Domain Decomposition Approach for Automatic Parallel Generation of Tetrahedral Grids, International Mathematical Journal Computational Methods in Applied Mathematics, Vol.6(2), 2006, pp. 178--193. </ref> <ref>H. Andrae, E. Ivanov, O. Gluchshenko, A. Kudryavtsev, Automatic Parallel Generation of Tetrahedral Grids by Using a Domain Decomposition Approach, Journal of Computational Mathematics and Mathematical Physics, Vol. 48(8), 2008, pp. 1448-1457 </ref>
<!-- Deleted image removed: [[Image:Bearcap png.png|left|250px|Decomposition of bearing cap and tetrahedral mesh generation on 32 CPUs]] -->
<!-- Deleted image removed: [[Image:kneefem png.png|250px|Decomposition of femoral prosthesis component and tetrahedral mesh generation on 16 CPUs]] -->
<!-- Deleted image removed: [[Image:kneetib png.png|250px|Decomposition of tibial prosthesis component and tetrahedral mesh generation on 8 CPUs]] -->
