HACE - workshop on HPC/AI hybridization

Institut de Recherche en Informatique de Toulouse (IRIT), Toulouse, France

May 26^th - 28^th, 2026

Location: IRIT – 118 Route de Narbonne, Cours Rose Dieng-Kuntz, F-31062 TOULOUSE CEDEX 9

This event belongs to the thematic trimester "HPC and AI convergence at the exascale era" organized by AISSAI Center and PEPR NumPEx

HACE workshop in Toulouse (May 26–28 2026) is the technical follow‑up of the opening conference SCOPE on “HPC and AI convergence at the Exascale era that took place in Paris in March 2026. The workshop will gather researchers from applied mathematics, scientific computing, AI, and HPC engineering to explore how hybrid AI–HPC workflows can deliver robust, scalable solvers for complex physical and industrial applications. By articulating methodological advances (PINNs, Neural Operators, diffusion and foundation models) with large‑scale implementations and real application case‑studies, HACE aims at identifying concrete co‑design strategies between numerical methods, learning architectures, and exascale systems. The format combines keynote talks, focused application talks, and hands‑on / technical sessions to foster exchanges between communities and to help participants build reusable patterns for hybrid AI–HPC workflows in their own domains.

Registration

Participation is free of charge, but registration is mandatory.

All the talks will be at the IRIT

Please register here.

Keynote speakers

Olivier Beaumont - Inria

Quentin Bernard - Inria

Youngsoo Choi - Lawrence Livermore National Laboratory

Alban Farchi - École des Ponts Paris Tech / CEREA

Alena Kopanikacova - Toulouse INP

Nikola Kovachki - NYU, Nvidia

Jean Kossaifi - Nvidia

Philipp Krah - CEA

Fanny Lehmann - ETH Zürich

Oriol Lehmkuhl - BSC

Andreas Lintermann - FZ Jülich

Benoît Malezieux - CNRS

Edouard Oyallon - CNRS

Bruno Raffin - Inria

Laure Reynaud - Météo-France

Nilo Schewencke - Université Paris-Saclay

Program

Tuesday, May 26th, 2026 - 9:15 AM to 6:30 PM CEST (Day 1)

Morning session: Deep-dive into AI-based surrogates to solve PDEs

This first morning session is devoted to AI‑based surrogates for solving partial differential equations, with a focus on Physics‑Informed Neural Networks (PINNs) and Neural Operator architectures. It will cover recent theoretical and algorithmic advances, discuss training and generalization issues for complex multi‑scale systems, and explore how these models interface with traditional solvers on modern HPC platforms. Invited contributions will present PINN‑based approaches, Neural Operator methods, and selected applications ranging from plasma physics to fluid dynamics, highlighting both performance gains and current limitations in terms of accuracy, stability, and scalability.

Afternoon session: HPC/AI hybridization

Summary coming soon

 Wednesday, May 27th, 2026 - 9:00 AM to 4:20 PM CEST (Day 2)

Morning session: From Generative models to Foundation models

This morning session will explore generative models and foundation models for scientific computing, with an emphasis on diffusion models and foundation models for scientific computing. A focus will be given on the mathematical foundations as well as their applications to real physical cases.

Afternnon session: What's next?

Summary coming soon

Thursday, May 28th, 2026 - 9:00 AM to 5:15 PM CEST (Day 3)

Morning session: Applications

This day is dedicated to application‑driven talks showcasing hybrid AI–HPC workflows in climate and weather, computational fluid dynamics, and industrial use‑cases. Speakers will present how AI surrogates and learned components are embedded within operational or near‑operational pipelines.

Afternoon session: Applications / Technical talks

Summary coming soon

This event is orgnized by PEPR NumPEx and AISSAI Center