[GRASS-user] Global overview of GRASS HPC resources/installations ?

[Moritz Lennert]

Le Sun, 20 May 2018 09:30:53 +0200,
Nikos Alexandris <nik at nikosalexandris.net> a écrit :

> * Massi Alvioli <nocharge at gmail.com> [2018-05-17 15:01:39 +0200]:
> 
> >2018-05-17 10:09 GMT+02:00 Moritz Lennert
> ><mlennert at club.worldonline.be>:
> >
> >Hi,
> >  
> >> [I imagine your mail was supposed to go onto the mailing list and
> >> not just to me...]  
> >
> >sure my answer was for everyone to read, I believe I tried to send it
> >again afterwards..
> >something must have gone wrong.
> >  
> >> I just presented GRASS and a short overview over GRASS on HPC
> >> yesterday at the FOSS4F-FR and there was a lot of interest for
> >> this. Several people asked me about specific documentation on the
> >> subject.  
> >
> >What we did about GRASS + HPC was for specific production purposes
> >and no documentation
> >whatsoever wascreated, basically due to lack of time.. so I find it
> >hard to say whether this is going
> >to change in the near future:). Surely the topic is of wide interest
> >and worth being discussed in
> >several contexts.
> >  
> >> Currently, I'm aware of the following wiki pages which each
> >> potentially touches on some aspects of HPC:  
> >
> >I must admit that existing documentation/papers did not help much.
> >Well, did not help at all, actually.
> >One major problem in my opinion/experience is that
> >multi-core/multi-node machines can be really
> >different from each other, and parallelization strategies very
> >purpose-specific, so that creating
> >general-purpose documents/papers, or even software, *may* be a
> >hopeless effort. Smart ideas
> >are most welcome, of course:)  
> 
> Dear Massimo and all,
> 
> Being a beginner in massively processing Landsat 8 images using JRC's
> JEODPP system (which is designed for High-Throughput,
> https://doi.org/10.1016/j.future.2017.11.007), I found useful notes in
> the Wiki (notably Veronica's excellent tutorials) and elsewhere, got
> specific answers through the mailing lists and learned a lot in
> on-site discussions during the last OSGeo sprint, for example.
> 
> Nonetheless, I think to have learned quite some things the hard way.
> In this regard, some answers to even "non-sense" questions are worth
> documenting.
> 
> My aim is to transfer notes of practical value. Having HPC and HTC
> related notes in a wiki, will help to get started, promote best
> practices, learn through common mistakes and give an overview for the
> points Peter put in this thread's first message.

+1

> 
> I hope it's fine to name the page "High Performance Computing". Please
> advise or create a page with another name if you think otherwise.


+1

Moritz