+++ header = "Publications" +++
- Macherel, E., Podladchikov, Y., Räss, L., and Schmalholz, S. M. (2023). Quantifying diapir ascent velocities in power-law viscous rock under far-field stress: Integrating analytical estimates, 3D numerical calculations and geodynamic applications. Geochemistry, Geophysics, Geosystems, 24, e2023GC011115. https://doi.org/10.1029/2023GC011115
- Schmalholz, S. M., Moulas, E., Räss, L., and Müntener, O. (2023). Serpentinite dehydration and olivine vein formation during ductile shearing: Insights from 2D numerical modeling on porosity generation, density variations, and transient weakening. Journal of Geophysical Research: Solid Earth, 128, e2023JB026985. https://doi.org/10.1029/2023JB026985
- Räss, L., Werder, M. A., Utkin, I., and Omlin, S. (2023). Teaching supercomputing and software engineering skills to science and engineering students, ETH Learning and Teaching Journal, Vol 4, No 1, 2023. https://doi.org/10.16906/lt-eth.v4i1.235
- Utkin, I., Khakimova, L., Schmalholz, S. M., and Podladchikov, Y. (2023). Control of nonlinear bulk deformation and large shear strain on first-order phase transformation kinetics. Continuum Mechanics and Thermodynamics, 1-20. https://doi.org/10.1007/s00161-023-01245-5
- Räss, L., Utkin, I., Duretz, T., Omlin, S., and Podladchikov, Y. Y. (2022). Assessing the robustness and scalability of the accelerated pseudo-transient method, Geosci. Model Dev., 15, 5757–5786. https://doi.org/10.5194/gmd-15-5757-2022
- [preprint] Churavy, V., Godoy, W. F., Bauer, C., Ranocha, H., Schlottke-Lakemper, M., Räss, L., Blaschke, J., Giordano, M., Schnetter, E., Omlin, S., Vetter, J. S., & Edelman, A. (2022). Bridging HPC Communities through the Julia Programming Language. https://doi.org/10.48550/ARXIV.2211.02740
- [preprint] Omlin, S., & Räss, L. (2022). High-performance xPU Stencil Computations in Julia. arXiv. https://doi.org/10.48550/arXiv.2211.15634
- [preprint] Omlin, S., Räss, L., & Utkin, I. (2022). Distributed Parallelization of xPU Stencil Computations in Julia. arXiv. https://doi.org/10.48550/arXiv.2211.15716
- FastIce workshop at Stanford (SIGMA group, Dept. of Geophysics)
- Thermo-mechanical modelling of ice sheets (Ludovic Räss)
- Massively parallel inverse modelling on GPUs using the adjoint method (Ivan Utkin)
- JuliaCon2023 - the conference dedicated to the Julia programming language
- Workshop: Differentiable modelling on GPUs (Ludovic Räss, Ivan Utkin, Sam Omlin)
- Minisymposium: Julia for High-Performance Computing
- Scalability and HPC readiness of Julia’s AMD GPU stack (Ludovic Räss)
- Main conference
- Massively parallel inverse modelling on GPUs with Enzyme (Ivan Utkin, Ludovic Räss, Sam Omlin)
- Scalable 3-D PDE Solvers Tackling Hardware Limit (Sam Omlin, Ludovic Räss, Ivan Utkin)
- PASC23 conference
- Julia for HPC: Tooling and Application minisymposium
- Large-scale thermo-mechanical ice flow modelling using Julia on GPU (Ivan Utkin)
- Julia for HPC: Tooling and Application minisymposium
- SCALES 2023 conference and workshop
- Workshop on Julia for HPC (Ludovic Räss, Ivan Utkin)
- Parallel inverse modelling on GPUs combining automatic differentiation and the adjoint method (Ludovic Räss, Ivan Utkin)
- Galileo Conference - Solid Earth and Geohazards in the Exascale Era
- Master-class: GPU HPC in Julia - multi-GPU and AD (Ludovic Räss, Ivan Utkin)
- Massively parallel inverse modelling on GPUs using the adjoint method (Ivan Utkin, Ludovic Räss)
- Using Julia for the next generation of HPC-ready software for geodynamic modelling (Albert de Montserrat Navarro, Boris Kaus, Ludovic Räss, Ivan Utkin, and Paul Tackley)
- Modelling the accumulation of magma prior to the caldera collapse (Pascal Aellig, Boris Kaus, Albert de Montserrat, Daniel Kiss, and Nicolas Berlie)
- WSL Julia Workshop 2023 Practical introduction to Julia for modelling and data analysis in biodiversity and earth sciences
- Solving PDEs using Julia for xPU HPC (Ludovic Räss)
- SIAM CSE23
- Designing iterative ice flow solvers for GPU supercomputers (Ludovic Räss, Ivan Utkin)
- Scientific Supercomputing with Julia - Insights from HPC Experts and Domain Scientists (Ludovic Räss, Sam Omlin)
- Ada Lovelace conference on Numerical Modelling of Mantle and Lithosphere Dynamics.
- Using graphics cards to solve forward and inverse problems in geodynamics (Ludovic Räss, Ivan Utkin)
- JuliaCon 2022 - the conference dedicated to the Julia programming language (more infos).
- Minisymposium: Differentiable Earth system models in Julia
- GPU-accelerated optimisation (Ludovic Räss - ETH Zurich)
- Examples of using gradients in the Solid Earth geosciences (Boris Kaus - JGU Mainz)
- Minisymposium: Julia for HPC
- Scalability of the Julia/GPU stack (Samuel Omlin - CSCS)
- Julia and GPU-HPC for geoscience applications (Ludovic Räss - ETH Zurich)
- Main conference
- GPU4GEO - Frontier GPU multi-physics solvers in Julia (Ludovic Räss, Ivan Utkin, Albert De Montserrat, Boris Kaus, Samuel Omlin)
- High-performance xPU Stencil Computations in Julia (Samuel Omlin, Ludovic Räss)
- Distributed Parallelization of xPU Stencil Computations in Julia (Samuel Omlin, Ludovic Räss, Ivan Utkin)
- Minisymposium: Differentiable Earth system models in Julia
- PASC22 conference (more infos)
- Julia for HPC minisymposium
- Development of Multi-GPU Solvers for Nonlinear Multi-Physics with Julia (Samuel Omlin - CSCS)
- Julia for HPC minisymposium
- CNRS Julia Day 2022
- Parallel high-performance stencil computations on xPUs (Ludovic Räss)