User Guide

Front-end

The cluster is based on several front-end servers and a lot of compute nodes.

3 servers are available:

• nef-frontal.inria.fr : main front-end, ssh and submission front-end
• nef-devel.inria.fr : compilation, ssh and submission front-end
• A storage server (no direct access for users)

Currently, the only way to use the cluster is to connect to one of the front-end with ssh. Then you can have access to the computing resources available by using the Torque job manager.

First steps

1. First you need to apply for an account on the nef cluster. You must give your ssh public key to have an account.
2. Then connect to one of the main front-end nef.inria.fr or nef-devel.inria.fr using ssh
3. Then you can import your data / sources files using scp on the nef front-end and compile your programs on nef-devel.inria.fr
4. Use the job manager to start your tasks
5. You can view the current running jobs using the Monika web interface. You can also view the system activity on nodes using ganglia

 Disk space management

Each user has a dedicated home directory on the storage server. The available disk space for users is 7TB. All nodes have access to this storage using NFS.

A quota system is activated on the shared storage server:

• The soft limit is 40GB
• The hard limit 350GB
• The delay is 4 weeks

You can use 40GB of data without restrictions; as soon as the soft limit is reached, you have 4 weeks in which to delete files and go back under the soft limit. You can never use more than the hard limit.

A warning message will be sent by mail every Sunday when a limit is reached.

You can check you current disk occupation with the quota -s command

More storage is available for the ASCLEPIOS, OPALE, and TROPICS team members in /epi/<teamname>/<username>. Teams needing more storage should contact the cluster administrators.

More storage is also available for the NEUROMATHCOMP, ABS, ODYSSEE and GEOMETRICA team members in /epi/<teamname>.

There is also disk space available on each node, in the /tmp directory

• 1.1TB on Dell R815 nodes
• 100 GB on Dell PE1950 nodes
• 420GB on HP nodes
• 110GB on Carri nodes

 Softwares

All nodes are installed using a Linux Fedora 16 64bit distribution

Main softwares available on the cluster:

• 3.4.7 linux x86_64 kernel
• PGI 13.5 compilers
• GCC 4.6.3 (C,C++, Fortran77, Fortran95 compilers)
• OpenMPI 1.6.3
• Paraview 3.14.1
• MvaMpich2 1.9a2
• Java 1.6.0_24 + java3D 1.5.2
• Petsc 3.4.2
• Matlab 2011b
• CUDA 5.0 (/usr/local/cuda) + CUDA SDK (/usr/local/cuda/samples)
• DDT debugger (/opt/allinea/ddt, see Documentation)

Other tools/libraries available:

• blas, atlas
• blacs and scalapack (in /usr/local/lib64)
• openblas 0.2.8 (in /opt/openblas/)
• gmsh 2.6.1 (in /opt/gmsh)
• Python (including scipy, numpy, pycuda)
• Trilinos (/opt/Trilinos)
• mesa 7.7.1(/opt/mesa)
• Erlang
• GDB & DDD
• Valgrind
• CGAL
• GSL & GLPK
• boost 1.47

Energy savings

Since the cluster is using an important amount of electricity (for the nodes and for the cooling system), unused computing nodes are automatically shutdown during nights and weekends

• unused nodes are powered off at 22:00 every night
• nodes are powered on every morning at 08:00 (except saturdays and sundays)