Exa-MA: Methods and Algorithms for Exascale
Building the future of exascale computing through advanced numerical methods, AI-enhanced algorithms, and production-ready open-source software.
Our Mission
The Exa-MA project is part of France’s PEPR NumPEx initiative, dedicated to pushing the frontiers of exascale computing. We develop and deploy:
Advanced Methods
Novel discretizations, solvers, and algorithms optimized for exascale architectures
AI Integration
Scientific machine learning for simulation, model reduction, and optimization
Open Software
Production-ready libraries that abstract hardware complexity and enable seamless portability
Validated Impact
Demonstrators, benchmarks, and real-world applications across scientific domains
Exa-MA brings together leading French institutions (CEA, École Polytechnique, Inria, Sorbonne Université, Université de Strasbourg) with a budget of 6.255 M€ over the project duration.
Recent Achievements
2025 Highlights
Up to 50× Speedup
GenEO preconditioning on large-scale problems (45M DoFs, 2916 cores)
8000 GPU Scale
Bayesian optimization on LUMI supercomputer with fractal decomposition
80-200% CPU Savings
Neural operators accelerating Newton iterations, domain-decomposed PINNs
Urban Meshing
Feature-preserving alpha wrapping (CGAL 6.0) and urban-scale mesh generation (Ktirio-Geom)
HPC Benchmarking
Automated CI/CD pipeline: code → EuroHPC runs in < 24h
Impact at a Glance
36 Publications
16 Software Packages
18 Frameworks
55 Person-Years
Work Packages Overview
Exa-MA is organized into seven scientific work packages plus project management:
Numerical Methods
Discretization – Mesh generation/adaptation (AMR), finite element framework, nonconforming methods, parallel-in-time, multiphysics coupling |
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Model Reduction & Scientific ML – Physics-driven deep learning, neural operators, data-driven ROM, reduced basis, multi-fidelity, super-resolution |
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Solvers – Mixed precision Krylov, data compression, variable accuracy, saddle point systems, partitioned multiphysics |
Data & Decision
Inverse Problems & Data Assimilation – Deterministic/stochastic methods, observation strategies, multi-fidelity schedules, model updates |
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Optimization – Combinatorial/continuous, surrogate-based, shape optimization, AutoML at exascale |
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Uncertainty Quantification – Kernel-based sensitivity, UQ in PDE framework, surrogate modeling, acceleration on exascale |
Integration & Coordination
Showroom & Benchmarking – Testing/benchmarking environment, CI/CD, verification/validation, co-design coordination, training materials |
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Project Management – Coordination, scientific/technical oversight, computing resources, communication, reporting |
Latest News & Updates
Upcoming Events
January 2026
General Assembly 2026 – Progress review in Aix-en-Provence
February 2026
Trans-Numériques 2026 – France’s digital continuum conference
Stay informed about project milestones, publications, and community events:
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News and Events – Latest announcements and upcoming activities
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Deliverables – Reports, documentation, and public outputs
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Results & Impact – Detailed metrics and scientific achievements
Getting Started
Whether you’re a researcher, developer, or end user, find your entry point:
For Researchers |
Start with Results and Impact to see our latest publications and scientific contributions |
For Developers |
Visit the Software Stack to explore packages, APIs, and CI/CD status |
For Students |
Check Training & Events for workshops and educational resources |
For Partners |
Learn about Consortium Partners and collaboration opportunities |