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@JuliaHPC @eth-vaw-glaciology @PTsolvers

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luraess/README.md

Hi, I'm Ludovic

computational geoscientist at the University of Lausanne and lecturer at the ETH Zurich Glaciology lab. I have a strong interest in high-performance computing (HPC) and the use of graphics processing units (GPUs) to accelerate computations. GPUs and supercomputers permit the investigation of previously unsolvable problems at unprecedented resolutions. My research interests aim at better understanding spontaneous localisation of flow in deforming porous media and ice dynamics. On the technical aspects, I explore and develop portable and backend agnostic HPC software and tools.

I am a co-PI in the GPU4GEO PASC project, developing Frontier GPU multi-physics solvers and PI of the EuroHPC STREAM project to unveil what mechanisms control the spontaneous rearrangement of ice motion in ice sheets.

I also designed and launched the Solving partial differential equations in parallel on GPUs course at ETH Zurich, democratising HPC and GPU supercomputing and software engineering skills in natural science and engineering studies using the Julia language.

I am also contributing to the Julia language open-source project in the JuliaGPU and JuliaParallel domains.

Ludovic's GitHub stats

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  1. omlins/ParallelStencil.jl omlins/ParallelStencil.jl Public

    Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

    Julia 323 38

  2. PTsolvers/Chmy.jl PTsolvers/Chmy.jl Public

    Finite differences and staggered grids on CPUs and GPUs

    Julia 21 4

  3. eth-cscs/ImplicitGlobalGrid.jl eth-cscs/ImplicitGlobalGrid.jl Public

    Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

    Julia 163 19

  4. eth-vaw-glaciology/course-101-0250-00 eth-vaw-glaciology/course-101-0250-00 Public

    ETH course - Solving PDEs in parallel on GPUs

    Julia 119 28