[GRASS-dev] Parallel computing for r.sun

[Newcomb, Doug]

I would vote for multicore OpenMP/OPENCL.  I just purchased an 8 core AMD
Vishera MB and CPU combo for under $300US to use at home , which is faster
than the 8 core Xeon server system I used to do statewide solar irradiation
modeling at work  for a 755 Million cell grid for 365 days (half hour
increments)  in 2011. With the advances in multicore architecture ( who
knows what core densities ARM will bring?) and utilization of the
processing elements in video cards, I think you will benefit many more
users on going the multicore route.

Doug

On Tue, Jan 29, 2013 at 8:05 AM, Ruzicka Jan <jan.ruzicka at vsb.cz> wrote:

> Dear developers,
>
> We are planning to rewrite the module r.sun for parallel computation and
> would like to ask you, which platform is more desired by the GRASS
> community. To our understanding there are two main ways of development.
> Either we design it for multi-core desktop systems that use shared memory
> (for example with use of OpenMP) or create module for large clusters with
> use of MPI library.
>
> Which way do you think would benefit GRASS more?
>
> Best regards
>
> Jan Ruzicka
> _______________________________________________
> grass-dev mailing list
> grass-dev at lists.osgeo.org
> http://lists.osgeo.org/mailman/listinfo/grass-dev
>



-- 
Doug Newcomb
USFWS
Raleigh, NC
919-856-4520 ext. 14 doug_newcomb at fws.gov
---------------------------------------------------------------------------------------------------------
The opinions I express are my own and are not representative of the
official policy of the U.S.Fish and Wildlife Service or Dept. of the
Interior.   Life is too short for undocumented, proprietary data formats.
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