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<p>Dear All,</p>
<p>also in ENEA[1] (Italy), we have an HPC platform named CRESCO[2]
with several free/open source software gis, including Grass
(release 7.4.0).</p>
<p>As a sysadmin forĀ G-FOSS in CRESCO (and old grass users :) I
have faced several installation, maintenance and running issues.</p>
<p>Therefore I would like to share my experience with the
participants to this mailing list.</p>
<p>In the following I briefly describe the architecture, based on :</p>
<p>Storage -> Andrew File System (AFS) , GPFS</p>
<p>Job Scheduler --> Platform LSF</p>
<p><br>
</p>
<p>If you think it can be useful, i could provide you with
information about CRESCO to be included in the "Supercomputing"
wiki page.</p>
<p><br>
</p>
<p>Best regards</p>
<p><br>
</p>
<p>Alessandro Peloso</p>
<p>ENEA CR Frascati</p>
<p><br>
</p>
[1] <a class="moz-txt-link-abbreviated" href="http://www.enea.it">www.enea.it</a><br>
[2] <a class="moz-txt-link-abbreviated" href="http://www.cresco.enea.it">www.cresco.enea.it</a><br>
<br>
<br>
<br>
<div class="moz-cite-prefix">On 15/05/2018 16:50, Massi Alvioli
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CAG0O4Lvt1ur7VmGZ4M8RxMiZzgnZ_Bhki=fjR39NVOvTZ_LXBw@mail.gmail.com">
<div dir="ltr"><br>
<div class="gmail_quote">---------- Forwarded message ----------<br>
From: <b class="gmail_sendername">Massi Alvioli</b> <span
dir="ltr"><<a href="mailto:nocharge@gmail.com"
moz-do-not-send="true">nocharge@gmail.com</a>></span><br>
Date: 2018-05-15 14:35 GMT+02:00<br>
Subject: Re: [GRASS-user] Global overview of GRASS HPC
resources/installations ?<br>
To: Moritz Lennert <<a
href="mailto:mlennert@club.worldonline.be"
moz-do-not-send="true">mlennert@club.worldonline.be</a>><br>
<br>
<br>
<div dir="ltr">
<div>
<div>
Hi GRASS HPC users,<br>
<div class="gmail_extra"><br>
</div>
we (Massimiliano Alvioli and Ivan Marchesini, at CNR
IRPI <a href="http://www.irpi.cnr.it" target="_blank"
moz-do-not-send="true">http://www.irpi.cnr.it</a>)
spent a significant amonut of time using GRASS on local
multi-core machines,<br>
</div>
remote machines running the PBS jobs scheduler and also
HPC machines, mainly the former Galileo and Marconi
clusters and at CINECA (Italy), running the <br>
SLURM job scheduler. We never published anything on the
subject, but we will be happy to discuss with other
interested people.<span class="HOEnZb"><font
color="#888888"><br>
<br>
<br>
</font></span></div>
<span class="HOEnZb"><font color="#888888">Massi<br>
</font></span></div>
</div>
<br>
</div>
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