Timothy Pickering <[email protected]> wrote: > yeah, it's shockingly bad. i've done enough number crunching in > python to know that's not representative of what numpy can actually > do.
I'm working on an series of benchmarks to compare PDL, NumPy, Octave and Scilab. So far, it looks like PDL and NumPy have broadly similar performance characteristics. Usually there is a slight edge for PDL, but not always. In particular, PDL is slow at matrix multiplication. It is difficult to design good benchmarks. My approach is to design very simple tests which measure only a small amount of functionality (e.g. matrix multiplication). Then, have several of those. What you see then is that different tools are better for different tasks. None of them is absolutely the best at everything. I'll try to post a first draft here today. Daniel. _______________________________________________ Perldl mailing list [email protected] http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
