Re: [Numpy-discussion] NumPy benchmark

2007-04-18 Thread lorenzo bolla
the amazing performance of C++ code does not surprise me: a tenfold improvement of the simple Python/Numpy code can be achieved with weave.inline or Pyrex. Hence your benchmarks seems to confirm that "weaved" or "pyrexed" code run as fast as C++ compiled one. Moreover, from your numbers, I can t

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread rex
Using MKL 9.1_beta made no difference in the prior benchmark, but it does improve speed in an earlier benchmark I posted. From: http://projects.scipy.org/pipermail/numpy-discussion/2007-January/025673.html ''' A progr

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread rex
lorenzo bolla <[EMAIL PROTECTED]> [2007-04-17 00:37]: > as soon as you do it, I'd like to compare them with the benchmarks I posted > here few days ago (compiled with gcc): http://lbolla.wordpress.com/2007/04/11/numerical-computing-matlab-vs-pythonnumpyweave/ Thanks for the link. I haven't buil

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread Albert Strasheim
Hello - Original Message - From: "Ray Schumacher" <[EMAIL PROTECTED]> To: Sent: Tuesday, April 17, 2007 4:56 PM Subject: Re: [Numpy-discussion] NumPy benchmark > I'm still curious about the licensing aspects of using Intel's > compiler and libs. Is

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread Ray Schumacher
I'm still curious about the licensing aspects of using Intel's compiler and libs. Is the compiled Python/numpy result distributable, like any other compiled program? Ray ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scip

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread rex
rex <[EMAIL PROTECTED]> [2007-04-16 15:53]: > I'm about to build numpy using Intel's MKL 9.1 beta and want to compare > it with the version I built using MKL 8.1. Is the LINPACK > benchmark the most appropriate? I'm buried in responses. Not. A well-known benchmark (Scimark?) coded using NumPy/Sc

Re: [Numpy-discussion] NumPy benchmark

2007-04-17 Thread lorenzo bolla
as soon as you do it, I'd like to compare them with the benchmarks I posted here few days ago (compiled with gcc): http://lbolla.wordpress.com/2007/04/11/numerical-computing-matlab-vs-pythonnumpyweave/ lorenzo. On 4/17/07, rex <[EMAIL PROTECTED]> wrote: I'm about to build numpy using Intel's M

[Numpy-discussion] NumPy benchmark

2007-04-16 Thread rex
I'm about to build numpy using Intel's MKL 9.1 beta and want to compare it with the version I built using MKL 8.1. Is the LINPACK benchmark the most appropriate? Thanks, -rex -- Pollytheism: n., the belief that there are many gods, all of them parrots. ___