[GRASS-dev] Parallelizing algorithms

[Anna Petrášová]

Hi Shreyas,

That's a great effort, would you be able to share the progress with us?
Usually, it's good if multiple people test it on different hardware, see
for example a previous parallelization contribution [1]. To measure the
performance, there is a benchmarking library [2] you can use. There are
benchmarking scripts in the source code for some tools, see for example [3]
or see a benchmarking example in a jupyter notebook [4].

Anna

[1] https://github.com/OSGeo/grass/pull/1782
[2] https://grass.osgeo.org/grass83/manuals/libpython/grass.benchmark.html
[3] https://github.com/OSGeo/grass/tree/main/raster/r.neighbors/benchmark
[4]
https://github.com/ncsu-geoforall-lab/grass-workshop-gis-week-2023/blob/main/01_intro_to_GRASS_parallelization.ipynb

On Tue, Dec 5, 2023 at 3:28 AM Shreyas Udaya via grass-dev <
grass-dev at lists.osgeo.org> wrote:

> I am currently parallelizing raster algorithms of grass using OpenMP and I
> am supposed to evaluate their performance compared to original algorithm.
> Is there any standard way to do this?
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