Yeah, I know about that bug. Does anyone know if it is difficult to fix? I have used a custom solution for parallel processing previously (using fork), but it crashes now in libBLAS.
/Arvid > 15 feb 2015 kl. 15:46 skrev Stéphane Mottelet <[email protected]>: > > Le 15/02/2015 12:01, Arvid Rosén a écrit : >> Anyone out there who is using any successful ways of running heavy scilab >> jobs in parallel across several cores on Mac OS? >> >> 8 cores, with 1 in use is, is a bit annoying when you are sitting there >> waiting for the processing to finish. >> >> Cheers, >> Arvid >> _______________________________________________ >> users mailing list >> [email protected] >> http://lists.scilab.org/mailman/listinfo/users > Hello, > > The problem is that parallel_run is still broken under MacOSX (see > http://bugzilla.scilab.org/show_bug.cgi?id=13158). For some applications, > such as Monte-Carlo estimations, this is not a big problem, since you just > have to submit more tasks that expected. But for other tasks, such as > partionning a big domain for independant computations (e.g. computing the > Mandelbrot Set), this prohibits its usage. Under Linux, I have no problem > using simultaneously 40 cores. > > S. > _______________________________________________ > users mailing list > [email protected] > http://lists.scilab.org/mailman/listinfo/users _______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
