On Sat, Jan 8, 2011 at 12:48 PM, Nikos Alexandris <[email protected]> wrote: ... > To have some results for my work, I also run the procedures on smaller subsets > (say 3000 observations instead of 18865) which takes some time but is feasible > @home. > > Currently there is a process running on a big cluster (thanks to a very kind > person who's always there). Hopefully we'll know soon enough how much time > this will take.
The job is still running on "my" blade :) Using 68GB of RAM. Does anyone in the list have experience in running R on a multicore system? This list is rather overwhelming for me: http://cran.r-project.org/web/views/HighPerformanceComputing.html An openMP approach or likewise with implicit parallelism would be great since I cannot rewrite R... thanks Markus -- http://gis.ambiente.fmach.it/ _______________________________________________ grass-stats mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-stats
