Scientific analysis servers

This article describes the scientific analysis servers. It covers:

  • Scientific Analysis  servers 
  • When to use Scientific servers?
  • Software installed 
  • Access to storage 

Once you have logged on JASMIN login gateway servers you can then ssh to the shared analysis servers that you have been given access to. 

Scientific analysis servers 

Access to the scientific analysis servers (Sci-servers) is restricted to ssh login from hosts inside the RAL firewall, so access from outside needs to be achieved via one of the  JASMIN login gateway servers.

Scientific server name   Processor model CPU Cores RAM (GB) /tmp (GB)
jasmin-sci1.ceda.ac.uk Xeon X5675 @ 3.07GHz  8    32  8
jasmin-sci2.ceda.ac.uk Xeon E5-2660 @ 2.20GHz  8    32  8
jasmin-sci3.ceda.ac.uk Xeon E7-4860 v2 @ 2.60GHz 48 2117 20
cems-sci1.cems.rl.ac.uk Xeon X5675 @ 3.07GHz  8    16  8
cems-sci2.cems.rl.ac.uk
Xeon E7-4860 v2 @ 2.60GHz 
48 2117 20

Note: jasmin-sci3 and cems-sci2 have private IP address, so outbound internet access (via NAT) is only for http/s

So for example if you had a JASMIN user Login you would type:

<username>@jasmin-login1 ~]$ ssh jasmin-sci1.ceda.ac.uk

For more information on using the JASMIN Analysis Platform  click here.

When to use Sci-servers? 

Scientific analysis servers are designed for interactive and ad-hoc analysis of data in group workspaces, the CEDA archives and users' home directories.   For long running and resource intensive jobs, users are required to use the LOTUS cluster which offers better I/O performance, parallelism and scheduling.

The following guide should be considered when using the scientific analysis servers:

  • Be aware of resources available at the time before your process starts and choose the scientific server that is suitable ( check average load on scientific server from message of the day on login server for example or using any of Linux monitoring command: top, free -h )
  • Execution/processing time should be less than 1 hour;
  • Serial jobs only 
  • High memory jobs should be executed on the high memory scientific server (see above Table column 2)
  • Monitor your process on a scientific server using top or ps Linux command 
  • Report if there is a user's process affecting the performance of a scientific server 

Software installed

Each analysis server has the following features:

  • Default Redhat Enterprise Linux development environment.
  • The JASMIN Analysis Platform installed, providing commonly-used open source analysis tools.  E.g. NCO, CDO, Python, R.
  • Access to proprietary tools, e.g. IDL and Intel Fortran, through the Module System.
  • Ability to run X-Windows applications by tunnelling your X session through ssh.

For more information on using the Jasmin Analysis Platform   click here.

Access to storage 

Each analysis server has:

  • Access the LOTUS /work/scratch area.
  • Read access to the CEDA Archives according to user permissions.
  • Read/Write access to Group Workspaces according to user permissions.

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