Resources per team: Shared access to a GPU accelerated 261 nodes HPC partition.

Resource Access:  ssh connection, visualization session also available.

Data cube access:  Shared through mounted disk space

Resource management: Accessed through Slurm job scheduler.

Software management: Through regular IDRIS support.  Containerisation option available through Singularity.


Support: Regular IDRIS support for application support. OCA ( will act as facilitator if necessary.

Resource location: France

Technical Specifications


IDRIS - Institute for Development and Resources in Intensive Scientific Computing ( will provide access to the GPU accelerated partition of its main supercomputer called Jean Zay ( Jean Zay’s computing resources are currently used by 1600 researchers and engineers and almost 625 Projects are running across IDRIS resources (50% HPC projects / 50% AI projects).

Technical specifications

IDRIS will provide access to the 1044 NVIDIA V100 SXM2 GPUs splitted over 261 nodes (4 GPUs per node). Each node includes

The compute nodes have accessed to a shared full-flash parallel file system based on IBM Spectrum Scale (capacity > 2 PB ; Throughput > 450 GB/s).

Users will also have access to visualization and pre/post-processing nodes.

Jean Zay’s full specifications can be found here:

Per user resource

Every user will have access to the compute nodes available to the SKADC2 project. Every SKA DC2’s project will be allocated 1000h of GPU runtime, shared between all users of one SKA DC2’s project. Each job elapse runtime shouldn’t exceed 100h:

If needed, each team project leader will ask for an extension of computing hours to IDRIS for established process.

Software installed

The cluster nodes are running RedHat. The job scheduler is Slurm. Both Intel and PGI/NVIDIA compilers are provided. Libraries are managed through the module system:

A list of all available Scientific software and libraries is provided through the FAQ. They can be listed with the “module avail” command (

Volume of resource

IDRIS can accommodate up to 40 user accounts, that can be dispatched on any number of teams.

GPUs if any

The partition provides 1044 Nvidia Tesla V100 SXM2 GPUs with 32 GB HBM each.

User access

Request access

If your project has been allocated resources on GENCI/IDRIS supercomputer, the scientific project's leader (or alternatively the project’s leader) would first need to send an email to including the following information:

OCA will be the entry point and will provide guidelines to the scientific projet’s leader to (1) reference its projet at IDRIS (2) create users account.

Logging in

All users will first connect to through ssh, and then on, still through ssh.

Connection will be possible through one command:

$ ssh -J <login> <login>

How to run a workflow

Jobs will be executed on computing resources through Slurm. Full documentation (including examples) is provided at the following address:

Accessing the data cube

Input Data will be stored on an IBM Spectrum Scale file system mounted on every accelerated node. IDRIS will provide the directory path name where data will be stored.

Different storage spaces are available, as detailed here: .

Software management

Installed software is managed through the module environment. Installation of missing libraries is handled through regular support request. User can also install their own libraries.

A list of currently available tools and library is available at the following address:


Single-node and multi-node container usage through singularity (see for the relevant documentation).


The documentation is available online at the following address:

Resource management

The computing resources are accessed through the Slurm job scheduler, each team will be assigned to an account with a predefined number of hours.

Storage is granted on a per user and per project basis, as detailed here: .


IDRIS support (for applicative troubleshooting) can be contacted either by mail (preferred) at or by phone (see below). The mail subject must include SKADC2 and OCA team will be copied Support by phone can be provided at: +33 (0)1 69 35 85 55. If support by phone is the method used to declare an issue, must also be notified.

For more details, please refer to

The IDRIS HPC community is supported by the following people:

Credits and acknowledgements 

This work was granted access to the HPC resources of IDRIS under the allocation 20XX-[numéro de dossier] made by GENCI