Difference between revisions of "Sds-hd hpc access"

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= Access to SDS@hd =
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| style="text-align:center; color:#000;vertical-align:middle;" |<span style="font-size:100%">'''SDS@hd ScientificDataStorage © University Heidelberg''' </span>
 
| style="text-align:center; color:#000;vertical-align:middle;" |<span style="font-size:100%">'''SDS@hd ScientificDataStorage © University Heidelberg''' </span>
 
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= Access to SDS@hd =
 
   
 
It is possible to access your storage space on [http://sds-hd.urz.uni-heidelberg.de SDS@hd] directly on the bwforCluster MLS&WISO.
 
It is possible to access your storage space on [http://sds-hd.urz.uni-heidelberg.de SDS@hd] directly on the bwforCluster MLS&WISO.

Revision as of 14:44, 23 October 2017

1 Access to SDS@hd

SDS@hd University Heidelberg
SDS@hd ScientificDataStorage © University Heidelberg

It is possible to access your storage space on SDS@hd directly on the bwforCluster MLS&WISO. You can access your SDS@hd directory with a valid Kerberos ticket on all compute nodes except standard nodes. Kerberos tickets are obtained and prolongated on the data mover nodes data1 and data2. Before a Kerberos ticket expires, notification is sent by e-mail.

1.1 Direct access in compute jobs

  • Login in to a datamover, i.e. ssh data1 (passwordless)
  • Fetch a Kerberos ticket with command: kinit (use your SDS@hd service password)
  • Prepare your jobscript to use the directory /mnt/sds-hd/<your-sv-acronym>
  • submit your job from the login node

1.2 Copying data on data mover node

Certain workflows or I/O patterns may require the transfer of data from SDS@hd to a workspace on the cluster before submitting jobs. Data transfers are possible on the data mover nodes data1 and data2:

  • Login to a data mover node with command: ssh data1 (passwordless)
  • Fetch a Kerberos ticket with command: kinit (use your SDS@hd service password)
  • Find your SDS@hd directory in /mnt/sds-hd/
  • Copy data between your SDS@hd directory and your workspaces
  • Destroy your Kerberos ticket with command: kdestroy
  • Logout from data1 for further work on the cluster