Hi Anna, I'm not sure if these modules are "low hanging fruit" and even fairly parallelizable, but r.stats and r.watershed might be good candidates because r.stats is generic with no output rasters, and may be used a lot in different fields, and r.watershed calculates several important hydrologic rasters that are often used as input to other modules (i.e., as a first step for most hydrologic analyses based on my experience). Maybe, r.statistics as well?
Since I now have access to HPC, I can help mentor him with some testing. Best, Huidae On Thu, Mar 30, 2023 at 9:42 AM Anna Petrášová <kratocha...@gmail.com> wrote: > Hi devs, > > We have a GSoC candidate who would like to do OpenMP parallelization. I > could mentor, anybody else is interested? > > At this point, we need to figure out (at least tentatively) which modules > he could work on. After Aaron's work in GSoC 2021, there are not that many > modules left that could be described as "low hanging fruit". Do you have > any suggestions? > > The proposal is due very soon. > > Thanks, > Anna > -- Huidae Cho, Ph.D., GISP, /hidɛ <http://ipa-reader.xyz/?text=hid%C9%9B> t͡ɕo/, 조희대, 曺喜大 GRASS GIS Developer https://idea.isnew.info/
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