I have a filter pipeline which reads N blocks from disk, this works fine on N processors.
I now wish to subdivide those N blocks (using a custom filter) to produce new data which will consist of M blocks - where M >> N. I wish to run the algorithm on M processors and have the piece information transformed between the two filters (reader -> splitter), so that blocks are distributed correctly. The reader will Read N blocks (leaving M-N processes unoccupied), but the filter which splits them up needs to output a different number of pieces and have the full M processes receiving data. I have a reasonably good idea of how to implement this, but I'm wondering if any filters already do something similar. I will of course take apart the D3 filter for ideas, but I don't need to do a parallel spatial decomposition since my blocks are already discrete - I just want to redistribute the blocks around and more importantly change the numbers of them between filters. If anyone can suggest examples which do this already, please do Thanks JB -- John Biddiscombe, email:biddisco @ cscs.ch http://www.cscs.ch/ CSCS, Swiss National Supercomputing Centre | Tel: +41 (91) 610.82.07 Via Cantonale, 6928 Manno, Switzerland | Fax: +41 (91) 610.82.82 _______________________________________________ Powered by www.kitware.com Visit other Kitware open-source projects at http://www.kitware.com/opensource/opensource.html Please keep messages on-topic and check the ParaView Wiki at: http://paraview.org/Wiki/ParaView Follow this link to subscribe/unsubscribe: http://www.paraview.org/mailman/listinfo/paraview
