Hi, I have implemented parallelization with openmp in r.proj. On a quad-core system this gives me a 50% speed increase (twice as fast) compared to the regular single thread version, tested with all interpolation methods. The speed increase is consistent and the results are identical to single thread calculation. I am not sure if concurrent read access of several threads to the same file used as temporary cache can cause problems for a large number of threads or input files substantially larger than available RAM.
Some other raster modules that could be parallelized in a similat fashion would be v.rectify, r.resamp.interp, r.neighbors, maybe r.resamp.filter and others. Markus M _______________________________________________ grass-dev mailing list grass-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-dev
