![]() ![]() "velocity X" field over a surface plot obtained from a sequential simulation (non parallel simulation) secuential.jpg (55.78 KiB) Viewed 2855 times "velocity X" field over a surface plot obtained from a parallel simulation parallel.jpg (56.73 KiB) Viewed 2855 times zoom in of the previous one (parallel.jpg) detailparallel.jpg (121. You are doing a enormous work with Elmer. In a few days, I will test the Xdmf/HDF5 format and I will keep you posted. These visualizations problems are not shown if the Postprocessor VTK of Elmer is used. I have compared the numeric values of those nodes to rule out computation errors.Įlmer svn-version: 5392 and other version of February 2010 (I don't remember the number) The file, named "detailparallel.jpg", shows a zoom in of the previous one.Īt the begining, i though it was produced due to numerical problem of the boundary conditions (periodic conditions) imposed on the side surfaces but i have ruled out it as the problem because it also occurs on surfaces with zero velocity (surfaces of a cylinder). It can be seen some nodes with blue colour close to other nodes with red or green colours. The file, named "parallel.jpg, shows the same field over a surface plot obtained from a parallel simulation. The file, named "sequential.jpg", shows "velocity X" field over a surface plot obtained from a sequential simulation (non parallel simulation) The solutions correspond to a steady simulation of a fluid flow over a cylinder located transversally to the flow with periodic conditions on side surfaces. Please find attached tree jpg files in which this problem is shown. This is an important distinction and users needs to know about this in order to choose a file format to work with.When any variable obtained from parallel simulations is plotted with Paraview (by vtu files) using a surface plot, the colour of some nodes does not correspond with scalar values written on the ElmerSolver result file. EnSight readers on each nodes need to read the whole dataset before distributing.PVTP readers on each nodes do not need to read the whole dataset, only the part that each node needs.Some readers are indeed parallel aware, but still require the whole dataset to be reader from disk in order to perform the distribution. That lead us to my final point, regarding readers, parallel aware is not enough. ![]() Ideally, this information should also be available as a nice list in the doc. If should be standard in the documentation of each unstructured data reader to specify if they are parallel aware are not. If we consider that we have an agreement here, that we need to list which readers are parallel aware and which aren’t. Regarding reader, all unstructred data reader needs to be parallel aware to output distributed data, eg: Exodus reader" Regarding filter, the stream tracer is a parralel aware filter as it would not work without dedicated code to transfer particles from one domain to the next. ParaView itself can’t render on multiple cores. So here’s a quick’n’dirty tutorial for dummies. Rendering results in ParaView on multiple cores on a desktop computer is a little less explained on the light side of the internets. "A parallel aware filter or reader is a filter or reader containing dedicated code that makes it work correctly in parallel and would not work without it. Using OpenFOAM in parallel with MPI is well explained in the OpenFOAM manual. I think we should defined this term precisely. “parallel%20aware”#parallel-processing-in-paraview-and-pvpythonĪnd a few instance in the source code of ParaView. This term “ parallel aware” is not strictly defined anywhere, there is a single reference to it in the doc In ParaView, they are many readers, some are parallel aware, some aren’t. ![]()
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