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[[computing:garchingcomputing:general.txt|General information on Rechen Zentrum Garching]] ====== The Hercules Cluster in Garching ====== The hercules cluster consists of 184 compute nodes and a 250TB GPFS file system. To access the cluster, please apply for an account at https://www.mpcdf.mpg.de/userspace/forms/onlineregistrationform (if this fails email benutzerberatung@rzg.mpg.de). Your will receive an email with instructions once your request is approved by our computer department. From the MPIfR network, you can log on using ''ssh <user-name>@hercules01.bc.rzg.mpg.de''. hercules02/hercules03 serve as standby to hercules01. Note that your user name on hercules may differ from that in MPIfR. === Using Kerberos authentication === From your MPIfR machine, get a valid kerberos ticket, by invoking a new Kerberos environment: ramesh@pc20181 ~ $ kpagsh ramesh@pc20181 ~ $ kinit rameshk@IPP-GARCHING.MPG.DE rameshk@IPP-GARCHING.MPG.DE's Password: ramesh@pc20181 ~ $ Once the above is done (with rameshk replaced by your user name), from the **same terminal**, you can log on to hercules without a password. ''ramesh@pc20181 ~ $ ssh rameshk@hercules01.bc.rzg.mpg.de'' === Data transfer to Hercules === == using **SLOW** rsync over internet == There are multiple ways to transfer data to hercules, which do or do not use the fast link between Bonn and Garching. If you don't need a fast transfer then you can simply copy your data "the normal way": rsync -Pav <data> <user-name>@hercules01.bc.rzg.mpg.de:<destination-dir-hercules> __**NOTE**__: this method will prompt you for your MPCDF password! == using the **FAST** 10Gb line on hgw == If transfer speed is of the essence use this approach to copy data to hercules. The easiest way is to copy your data directly copy to the hercules mounts on the gateway in Bonn (hgw or herculesgw). The hercules disk is visible as ''/media/hercules'' on hgw. Your own directory is listed under ''/media/hercules/u/<user-name>''. Please note that only those having an hercules account are allowed to log in to herculesgw (or how) and that data can only be copied to your own home directory or from ''hercules:/hercules/results/<user>'' directories. ramesh@hgw ~ $ rsync -av --progress /fpra/timing/01/rktest/ /media/hercules/results/rameshk/. sending incremental file list rsync: chgrp "/media/hercules/results/rameshk/." failed: Operation not permitted (1) ./ 2019-09-16-19:20:50.fil 21,069,824 0% 6.58MB/s 0:35:52 ---- === The /p file system === All data in any of the directories on the /p file system are automatically migrated to the archive in Garching. How to check where this data resides and how to recall it again check the following help page: http://www.mpcdf.mpg.de/services/data/backup-archive/archives === Support === For help on modules/software/cluster, please email Christian (christian.guggenberger@rzg.mpg.de) or Markus (mjr@rzg.mpg.de). ==== VNC ==== To use VNC with the Hercules cluster, see: http://www.mpcdf.mpg.de/services/network/vnc/vnc-at-the-mpcdf ==== Installing Python librairies ==== To install standard python librairies, see: http://www.mpcdf.mpg.de/about-mpcdf/publications/bits-n-bytes?BB-View=192&BB-Document=150 ====== Sample script ====== Here's an example snippet which can be submitted with ''qsub'': ''### shell\\ #$ -S /bin/bash\\ ### join stdout and stderr\\ #$ -j y\\ ### change to current work dir\\ #$ -cwd\\ ### do not send email reports\\ #$ -m n\\ ### request parallel env with 8 cpus\\ #$ -pe openmp 8\\ ### wallclock 2 hours\\ #$ -l h_rt=7200\\ ### virtual limit per job 20GB\\ #$ -l h_vmem=20G\\ date'' The CPU count specified with ''#$ -pe openmp XYZ'' can be varied from 1-24. ''#$ -pe openmp'' can be ommitted, but then, one cpu is assumed. ''h_rt'' is mandatory and can be as much as 12 days (288:00:00). ''h_vmem'' is optional; if not present, 7G is set as default. Currently, there is no CPU-binding enforced; in other words, if users use more cpus (e.g. create more threads) than requested, they'll steal CPU time from other jobs. ====== Docker/Singularity Tutorial ====== To help you to run your own programs (or specific versions of them) on the Hercules cluster using Docker and Singularity. {{:computing:docksing.pdf|}}