High-performance computing, multiphysics simulation, data, and AI
The Computing and Numerical Simulations (ISN) platform provides high-performance computing (HPC) resources and expertise in simulation, data processing, and artificial intelligence. It supports research projects and industrial partnerships, from model preparation to results analysis and visualization.
Resources and Services
High-Performance Computing (HPC)
ISN relies on a dedicated computing cluster for demanding needs in:
- parallel computing (CPU);
- GPU acceleration for compatible codes and massive processing.
Numerical simulations
The platform supports the implementation of physical simulations, including:
- mechanics (structures, behavior, dynamics);
- materials (microstructure, damage, coupling);
- multiphysics coupling according to use cases (thermal, mechanical, etc.).
Pre-/Post-Processing and Remote Visualization
ISN facilitates results exploitation through:
- preparation and configuration of computations (pre-processing);
- post-processing (extraction, indicators, comparisons);
- remote visualization to analyze large-scale results without local hardware constraints.
Data Processing
The platform supports data workflows:
- cleaning, structuring, integration;
- statistical and exploratory analyses;
- pipeline automation (according to project needs).
Artificial intelligence
ISN supports the use of AI for:
- analysis and prediction from experimental/simulated data;
- computation time reduction (data-driven approaches, metamodels, etc.);
- decision support and optimization (according to projects).
Who is it for?
The ISN platform serves:
- research teams (projects, PhDs, publications);
- industrial partners (R&D, digital prototyping, optimization);
- any project requiring HPC, simulation, data, and/or AI.
Access Procedures
Depending on your needs, ISN can provide:
- resource provisioning (computing/storage, environments);
- services (configuration, campaign execution, post-processing);
- support (porting/optimization, GPU, parallelization, data/AI pipeline).
Contact
To determine feasibility (computing needs, codes used, data volume, time constraints):