Ludovic Räss
Employers on the program
- 2023ETH Zurich4 talks
- 2019Stanford University1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- JuliaCon
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Aug 10, 2026 | JuliaCon Global 2026 | JuliaCon | workshop | Hands-on with Julia for HPC on GPUsJulia offers the best of both worlds: high-level expressiveness combined with low-level performance, allowing developers to leverage modern hardware…Show lessJulia offers the best of both worlds: high-level expressiveness combined with low-level performance, allowing developers to leverage modern hardware accelerators without needing expertise in hardware-specific languages. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | JuliaCon Proceedings: behind the scenes JuliaCon has its own peer-reviewed academic proceedings journal, where authors can publish their work presented at JuliaCon. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | speaker | Developing Supercomputing Geoscience Applications using JuliaThe rapidly increasing amount of data in the geosciences requires new tools and workflows to processing them, along with software to modelling the physics of…Show lessThe rapidly increasing amount of data in the geosciences requires new tools and workflows to processing them, along with software to modelling the physics of the governing processes. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | speaker | FastIce.jl: a massively parallel ice flow model running on GPUs We introduce [FastIce.jl](https://github.com/PTsolvers/FastIce.jl), a novel ice flow model for massively parallel architectures, written in Julia. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | workshop | Hands-on with Julia for HPC on GPUs and CPUsJulia offers the flexibility of a high-productivity language while providing control, performance, and compatibility with high-performance computing (HPC)…Show lessJulia offers the flexibility of a high-productivity language while providing control, performance, and compatibility with high-performance computing (HPC) hardware. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | lightning | Subglacial water flow simulations on GPUs Modeling subglacial water flow and its link to ice dynamics is necessary for accurate predictions of ice sheet response to a warming climate. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | lightning | Sustainable Development of Stencil-based HPC Applications We present a successful approach for a sustainable development of stencil-based HPC applications in Julia. | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | workshop | Differentiable modelling on GPUs as ETH Zurich Why to wait hours for computations to complete, when it could take only a few seconds? | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | speaker | Julia for High-Performance Computing as ETH Zurich The Julia for HPC minisymposium gathers current and prospective Julia practitioners from various disciplines in the field of high-performance computing (HPC). | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | speaker | Massively parallel inverse modelling on GPUs with Enzyme as ETH Zurich We present an efficient and scalable approach to inverse PDE-based modelling with the adjoint method. | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | speaker | Scalable 3-D PDE Solvers Tackling Hardware Limit as ETH Zurich We present an efficient approach for the development of 3-D partial differential equation solvers that are able to tackle the hardware limit of modern GPUs and…Show lessWe present an efficient approach for the development of 3-D partial differential equation solvers that are able to tackle the hardware limit of modern GPUs and scale to the world's largest supercomputers. | |
| Jul 22, 2019 | JuliaCon 2019 | JuliaCon | speaker | Porting a massively parallel Multi-GPU application to Julia: a 3-D nonlinear multi-physics flow solver as Stanford University We showcase the port to Julia of a massively parallel Multi-GPU solver for spontaneous nonlinear multi-physics flow localization in 3-D. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Chris Rackauckas | 5 | — | 2026 |
| Kristoffer Carlsson | 5 | — | 2026 |
| Mosè Giordano | 5 | — | 2026 |
| Sebastian Pfitzner | 5 | — | 2026 |
| Samuel Omlin | 4 | 6 | 2026 |
| Aaron Trowbridge | 4 | — | 2026 |
| Alexander Leong | 4 | — | 2026 |
| Avik Sengupta | 4 | — | 2026 |
| Avinash Subramanian | 4 | — | 2026 |
| Fredrik Bagge Carlson | 4 | — | 2026 |
| Jacob Zelko | 4 | — | 2026 |
| Jeff Bezanson | 4 | — | 2026 |
| Julia Gender Inclusive | 4 | — | 2026 |
| Katharine Hyatt | 4 | — | 2026 |
| Keno Fischer | 4 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.