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.

Server name  Virtual/Physical (OperatingSystem)  Processor model CPU Cores RAM (GB) /tmp (GB)
sci1.jasmin.ac.uk
V (CentOS7) Xeon(R) Silver 4114 CPU @ 2.20GHz  8    16     NA
sci2.jasmin.ac.uk
V (CentOS7) Xeon(R) E5-2630 @ 2.20GHz  8    16     NA
sci3.jasmin.ac.uk  P (CentOS7) Xeon X5675 @ 3.07GHz     48      1000       -    
sci4.jasmin.ac.uk V (CentOS7) Xeon E5-2660 @ 2.20GHz  8    32     NA
sci5.jasmin.ac.uk V (CentOS7) Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz 8 32 NA
sci6.jasmin.ac.uk P (CentOS7) AMD EPYC 7402 24-Core Processor 48 1000 -
sci8.jasmin.ac.uk P (CentOS7) Intel(R) Xeon(R) Gold 5118 CPU @ 2.30GHz
24 383. -

Note 1: sci[3,6,8].jasmin.ac.uk are physical servers with IP addresses on a private internal network, so outbound internet access (via NAT) is only for https. This means that outbound SSH will not work (to hosts outside of JASMIN) on these particular machines.

Note 2: The local /tmp of the virtual VMs is Not Available (NA) for users as this is used by the VM system

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 the average load on the scientific server from the 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 servers with 1000 GB of RAM sci[3,6].jasmin.ac.uk (see above Table )
  • 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 software packages that make up the JASMIN Analysis Platform are all installed - providing commonly-used open-source analysis tools.  These packages include NCO, CDO, Python2.7 (with netCDF4, matplotlib, numpy etc.,) and R.
  • Access to proprietary tools, e.g. IDL and Intel Fortran, through the Module System.
  • Ability to run X-Windows applications by tunneling your X session through ssh.

Access to storage 

Each analysis server has:

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