Samuel Omlin
Employers on the program
- 2023–2026Swiss National Supercomputing Centre6 talks
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 | speaker | From Stencils to XLA: A Reactant Backend for ParallelStencil.jl as Swiss National Supercomputing Centre We present an approach for building a Reactant backend for ParallelStencil, a Julia package for high-performance stencil computations. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Architecture-Agnostic Performance Regression Unit Tests[PerfTest.jl](https://github.com/JuliaPerf/PerfTest.jl) is a Julia package conceived from the idea of bridging the gap between unit testing and…Show less[PerfTest.jl](https://github.com/JuliaPerf/PerfTest.jl) is a Julia package conceived from the idea of bridging the gap between unit testing and architecture-agnostic performance testing. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Enhancing Deterministic Voice Control with LLM Interaction The approach presented here bridges a gap in human-AI interaction, enabling LLM intelligence for small tasks where traditional chat is too cumbersome. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | workshop | Hands-on with Julia for HPC on GPUs and CPUsJulia 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. | Video |
| 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 | speaker | Seamless transition from single-core Python to Julia Multi-GPUWe present a new approach to transition seamlessly and with unprecedented effectiveness from a single-CPU-core Python prototype to a Julia application that is…Show lessWe present a new approach to transition seamlessly and with unprecedented effectiveness from a single-CPU-core Python prototype to a Julia application that is deployable on distributed GPUs. | |
| 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 Swiss National Supercomputing Centre 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 Swiss National Supercomputing Centre 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 Swiss National Supercomputing Centre We present an efficient and scalable approach to inverse PDE-based modelling with the adjoint method. | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | lightning | Quick Assembly of Personalized Voice Assistants with JustSayIt as Swiss National Supercomputing Centre We present an approach to quickly assemble fully personalized voice assistants with JustSayIt.jl. | |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | speaker | Scalable 3-D PDE Solvers Tackling Hardware Limit as Swiss National Supercomputing Centre 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. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ludovic Räss | 4 | 6 | 2026 |
| Aaron Trowbridge | 4 | — | 2026 |
| Alexander Leong | 4 | — | 2026 |
| Avinash Subramanian | 4 | — | 2026 |
| Chris Rackauckas | 4 | — | 2026 |
| Fredrik Bagge Carlson | 4 | — | 2026 |
| Jacob Zelko | 4 | — | 2026 |
| Julia Gender Inclusive | 4 | — | 2026 |
| Katharine Hyatt | 4 | — | 2026 |
| Kristoffer Carlsson | 4 | — | 2026 |
| Letícia Madureira | 4 | — | 2026 |
| Mark Kittisopikul | 4 | — | 2026 |
| Michael Tiller | 4 | — | 2026 |
| Mosè Giordano | 4 | — | 2026 |
| Oskar Laverny | 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.