Hello developer list,
Is there a gain to implement certain geoprocessing algorithms for CUDA or OpenCL? I was asked to do so and I am not shure if this would actually give a huge performance gain compared to the not trivial way to implement it.
What do you think? Are there certain types of geoprocesses where it would perform significantly better? Do you have hints for a novice programmer where to start?
yours,
Florian
Ciao Florian,
your question is too broad IMHO.
We are doing some geoprocessing in CUDA (not OpenCL at this stage) and
in certain cases the performance gain is quite stunning.
Baseline is as follows:
- if you are going to process data that fits into the video card
memory (e.g. few GB size) with a complex parallelizable then the GPU
can speed things up
- if your data is much bigger than what can fit into the video card
you may want to look at a map/reduce approach (where PGU can still
play a role on the single job prior to reduce)
- if your data is small but you do the same processing many times over
time then GPU might not be worth it
Ing. Simone Giannecchini
@simogeo
Founder/Director
GeoSolutions S.A.S.
Via di Montramito 3/A
55054 Massarosa (LU)
Italy
phone: +39 0584 962313
fax: +39 0584 1660272
mob: +39 333 8128928
http://www.geo-solutions.it
http://twitter.com/geosolutions_it
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On Thu, Feb 25, 2016 at 10:23 AM, Florian Hoedt <gannebamm@anonymised.com> wrote:
Hello developer list,
Is there a gain to implement certain geoprocessing algorithms for CUDA or
OpenCL? I was asked to do so and I am not shure if this would actually give
a huge performance gain compared to the not trivial way to implement it.
What do you think? Are there certain types of geoprocesses where it would
perform significantly better? Do you have hints for a novice programmer
where to start?yours,
Florian------------------------------------------------------------------------------
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