Deepgreen MLIR winter school
Mon 27 - Fri 31 January, 2025
Paris
Registration for the winter school is now closed. Another session will be held later in the year for those who were unable to attend this one.
January 27: One-day workshop at Google Paris headquarters on compiler infrastructures for Machine Learning
January 28 - 31: Four-day winter school at Hôtel Maison Montmartre to enter the MLIR ecosystem
Inspiring projects
Hands-on tutorials
Advanced courses
Getting your foot in the door
In recent years, MLIR-based compilers have seen widespread adoption in both academia and industry. MLIR has become a de facto standard in many sectors and a shared compiler infrastructure, allowing new projects to build upon sound and reliable existing solutions. This winter school aims to facilitate the discovery and adoption of this growing, dynamic and innovative software ecosystem.
This event is funded by DeepGreen, a France 2030 project that aims at developing the "Eclipse AIDGE" open-source platform for embedded AI. The platform provides high-level transformations (compression) on a graph-based IR and aims at providing MLIR-based optimised backends for various architectures.
Teachers
Mehdi Amini
(NVIDIA)
Mathieu Fehr
(U. of Edinburgh)
Sasha Lopoukhine
(U. of Cambridge)
Marius Brehler
(AMD)
Lorenzo Chelini
(NVIDIA)
Kunwar Grover
(AMD)
William Moses
(U. of Illinois Urbana-Champaign)
Matthias Springer
(NVIDIA)
Alex Zinenko
(Brium)