On Thu, Jul 31, 2008 at 7:31 AM, Hanni Ali <[EMAIL PROTECTED]> wrote: > > I would just to highlight an alternate use of numpy to interactive use. We > have a cluster of machines which process tasks on an individual basis where > a master tasks may spawn 600 slave tasks to be processed. These tasks are > spread across the cluster and processed as scripts in a individual python > thread. Although reducing the process time by 300 seconds for the master > task is only about a 1.5% speedup (total time can be i excess of 24000s). We > process large number of these tasks in any given year and every little > helps! >
There are other components of NumPy/SciPy that are more worthy of optimization. Given that programmer time is a scarce resource, it's more sensible to direct our efforts towards making the other 98.5% of the computation faster. /law of diminishing returns -- Nathan Bell [EMAIL PROTECTED] http://graphics.cs.uiuc.edu/~wnbell/ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
