From: Admin Tensor <lists@...>
Date: 2012-09-09T03:26:23+09:00
Subject: Re: Using ruby for scientific computing

Olivier Saut wrote in post #1075138:
> Hi all,
>
> For pedagogic purposes, I am trying to solve simple partial differential
> equations (say a diffusion equation on a regular mesh in 2D) with Ruby.
> Using the NArray gem, I have built a satisfactory tool from an interface
> (and ease of use) point of view but the performance are suboptimal.
.......
> I am wondering what is the best way to tackle this performance problem :
> 1. Improve the ruby code (and how? :) Should I avoid using hashes?
> 2. Write an extension to perform these operations in C. BTW is there a
> way to access directly NArray data (without copy) from a C extension?
> 3. Use a wrapper like Ruby-lapack
> (
> https://rubyforge.org/projects/ruby-lapack/
> ).
>
> What do you think?
>
> Thanks for your help !

Hi,

Because it seems that you emphasize on performance, I think the best way
is to use GNU Octave for dealing with the sparse matrices.  There is a
Ruby gem (octave-ruby) to bridge between Ruby and Octave objects.

I really like Ruby, but for scientific computing I think for now Python
has better libraries.

Regards,

Bill

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