Léo Bechet
Computational Physics · Scientific Computing · GPU & Neural Network Systems
I am a physics and computational science researcher currently pursuing a PhD at Uppsala University, focused on energy-efficient algorithmic solutions for data-intensive applications. This website collects my projects, research notes, and technical blog posts.
Profile
Passionate about astronomy, optics, and computer science, I hold a Master’s degree in Computational Physics and a Bachelor’s degree in Fundamental Physics from the University of Bourgogne Franche-Comté.
My research background includes projects at FEMTO-ST and the SYSTEM-7 Lab at the University of Tokyo, with experience in Python, Fortran, C++/CUDA-style acceleration workflows, OpenMP/OpenACC, and neural network training.
Languages: French (native), English (C1+), Spanish (A2), Japanese (beginner).
Projects
D2Q9 Lattice-Boltzmann (WebGL, MRT)
GPU implementation of a 2D fluid simulation around static objects using WebGL shaders and multi-relaxation-time dynamics.
N-Body Simulation (Fortran + OpenMP/OpenACC)
GPU/CPU optimized N-body solver with performance comparisons across implementations and accuracy/speedup analysis.
Marching Cubes in the Browser
Real-time 3D JavaScript demo with dynamic camera controls and parallel chunk processing for efficient visualization of implicit surfaces.
Recent blog posts
- Fake Post Gamma
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- LaTeX Test: Understanding the Boltzmann Constant
· A short note on what the Boltzmann constant means, with LaTeX equations.
- Fake Post Beta
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- Fake Post Alpha
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