[GRASS-dev] Parallel computing for r.sun

[Yann Chemin]

Hi,

OpenMP first to leverage the actual CPU development routes.
OpenCL second to leverage the actual GPU routes.

Cheers,
Yann



On 29 January 2013 19:11, Newcomb, Doug <doug_newcomb at fws.gov> wrote:

> 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
>
> ---------------------------------------------------------------------------------------------------------
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-- 
Yann Chemin
Researcher at IWMI
Skype/FB: yann.chemin
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