Octobre 2024

Bonjour

La nouvelle version 1.11 est sortie. La liste des nouveautés est décrite dans le premier billet de blog.

Jeudi 29 novembre à 10:00 Remy Drouilhet fera une présentation avec ce titre choc “Julia un successeur naturel de R” sans point d’interrogation.

Il y a beaucoup à lire dans les proceedings des conférences JuliaCon qui sont publiés sur le modèle des JOSS papers.

Billets de blog¶

• Julia 1.11 Highlights

• Stefan Krastanov - This month in Julia world

• Mehmet Hakan Satman - add --trim option for generating smaller binaries

• ZJ Dai - Meet some mind-blowing ways to define functions in Julia: a tour of the many ways to create functions in Julia

• Eric Hanson - Julia’s package registration tooling

Packages¶

• AcceleratedKernels.jl Cross-architecture parallel algorithms for Julia’s GPU backends, from a unified KernelAbstractions.jl codebase. Targets Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.

• AcousticWaveCPML.jl solving acoustic wave propagation in 2D and 3D on multi-xPUs using CPML boundary conditions.

• Fortran90Namelists.jl Julia implementation of Python f90nml package.

• ImplicitIntegration.jl approximating volume and surface integrals over implicitly defined domains in arbitrary dimensions.

• LearnAPI.jl A Julia interface for training and applying models in machine learning and statistics.

• MultiPrecisionR2 Mutli-Precision extension of Quadratic Regularization (R2) optimization algorithm to finite precision computations.

• ParticleInCell.jl PIC algorithm for kinetic plasma physics simulation.

• PeriodicMatrices.jl Handling of periodic time-varying matrices.

• Runic.jl A code formatter for Julia.

• SimpleSim.jl A minimalist package for modular dynamical systems simulation.

• TFire.jl A Modern Backtesting Toolbox.

• UniversalDiffEq.jl Universal differential equations for ecologists.

Vidéos¶

• Julia Dispatch Podcast with Tim Holy

• Seamless transition from single-core Python to Julia Multi-GPU

• Julia as a Statically Compiled Language Jeff Bezanson discusses advances in the Julia compiler that will enable Julia to much more easily be used as a statically compiled language.

• JuliaScript.jl - simply run julia scripts at max speed

• Memory in Julia

• Modernizing Weather Forecasting with Julia – Milan Klöwer on SpeedyWeather.jl

• The public keyword and how public APIs work in Julia

Tutoriels, Documentation, Livres, Supports de cours...¶

• A tutorial on improving the performance of Julia code.

• Experiments in making Julia binaries interoperable within other language C interfaces

• juliac example by Mason Protter

• Livre “Introduction à la programmation en Julia”

• Julia as a universal platform for statistical software development

• Differentiable modelling on (multi)-GPUs

Abonnez-vous à la liste Julia du CNRS

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