host login IP: 131.175.43.130
beta access (internal): 28 March, 2023
beta access (external beta users): 31 March, 2023
start of production: May, 2023 (Booster)
last quarter 2023 (Data Centric/General Purpose )
This system is the new pre-exascale Tier-0 EuroHPC supercomputer hosted by CINECA and currently built in the Bologna Technopole, Italy. It is supplied by ATOS, based on a BullSequana XH2135 supercomputer nodes, each with four NVIDIA Tensor Core GPUs and a single Intel CPU. It also uses NVIDIA Mellanox HDR 200Gb/s InfiniBand connectivity, with smart in-network computing acceleration engines that enable extremely low latency and high data throughput to provide the highest AI and HPC application performance and scalability.
System Architecture
Architecture: Atos BullSequana XH21355 "Da Vinci" blade - Booster (in β preproduction) - Atos BullSequana X2610 compute blade - Data-centric (will be available in the last quarter of the 2023)
Internal Network: Nvidia Mellanox HDRDragonFly+ 200 Gb/s
Storage: 106 PB (raw) Large capacity storage, 620 GB/s
High Performance Storage 5.4 PB, 1.4 TB/s Based on 31 x DDN Exascaler ES400NVX2
Login nodes: in β production 1 (16 later): login14 accessible via IP 131.175.43.130, icelake nogpu
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The β access phase
Leonardo is currently under testing by the vendor team, CINECA staff, and authorized external users. The environment is not finalized yet on storage, system configuration, and software stack.
Software environment and test jobs
The available software environment is based on spack and modules, and needs to be activated. Some vendor installations are also available and presented in an lmod environment on the login node, but we warmly encourage the beta testers to use the spack environment to provide a valuable feedback on the software stack provided by CINECA.
The production environment will be based on the slurm scheduler, already in place on the cluster but in a very preliminary configuration. The only available partition is "prod" (#SBATCH --partition=prod). Please refer to the general online guide to slurm and on task/thread bindings, and please pay attention to the setting of the SRUN_CPUS_PER_TASK for hybrid applications dispatched with "srun". In this preliminary configuration, please explicit the request of the correct pmix plugin when launching your parallel applications with "srun":
srun --mpi=pmix_v3 <options> <exe>
No pmi settings are needed if you launch with "mpirun".