[Numpy-discussion] Fast threading solution thoughts
Thu Feb 12 07:58:40 CST 2009
2009/2/12 Sturla Molden <email@example.com>:
> On 2/12/2009 1:50 PM, Francesc Alted wrote:
>> Hey! That's very nice to know. We already have OpenMP support in
>> Cython for free (or apparently it seems so :-)
> Not we don't, as variable names are different in C and Cython. But
> adding support for OpenMP would not bloat the Cython language.
> Cython must exhange the variable names and leave the comment in C as a
> pragma to the C compiler.
> IMHO, OpenMP is the easiest way to use parallel computing in scientific
> projects. It is much easier than manually fiddling with threads,
> processes, MPI, etc. Just write code as you normally would, debug and
> verify. Then you spend five minutes inserting pragmas to the compiler,
> and et voilá you have a parallel program. The same code will then
> compile and run correctly for parallel or sequential execution,
> depending on a compiler switch (-fopenmp). You get load balancing for
> free, as that is built into OpenMP. OpenMPs API is so small that it just
> takes 10 minutes to learn.
> OpenMP currently works on SMPs (e.g. multicore CPUs), but there is work
> going on to port it to clusters as well.
In this matter, I think OpenMP will never be used. Besides, OpenMP
doesn't even support an unsigned int for a parallel loop variable.
Information System Engineer, Ph.D.
Blogs: http://matt.eifelle.com and http://blog.developpez.com/?blog=92
More information about the Numpy-discussion