Août 2022

Bonjour,

La nouvelle version de Julia est sortie. C’est la 1.8. Un nouvel outil est disponible pour l’installer: juliaup. Il permet de gérer l’installation de plusieurs versions et facilite les mises à jour.

Billets de blog

• Les nouveautés de la version 1.8

• 5 important talks you might have missed at JuliaCon 2022

• How to safely use the vec and reshape functions in Julia?

• ABC of Plots.jl

• A brief tour of Julia for High Performance Computing

• How to Use Linear Models and Decision Trees in Julia

• Statistical Plotting with Julia: Gadfly.jl

Packages

• PProf.jl : Export Julia profiles to the pprof format.

• MeshPlots.jl: Plots.jl recipes for Meshes.jl.

• SpeedyWeather.jl: The little sister of a big weather forecast model.

• Hydro.jl: A modular hydrodynamic code written in pure Julia.

• IncompressibleNavierStokes.jl: Incompressible Navier-Stokes solver.

• HOHQMesh.jl: HOHQMesh.jl is a Julia wrapper for the HOHQMesh mesh generator, which allows to produce curved quadrilateral and hexahedral meshes for high-order numerical simulations.

• SnoopCompile.jl: Making packages work faster with more extensive precompilation.

• StableTrees.jl: Explainable machine learning via rule extraction.

• AlgebraicSolving.jl: A julia package for algebraically solving multivariate polynomial systems.

• CovarianceFunctions.jl: Lazy, structured, and efficient operations with kernel matrices.

• LocalPoly.jl: Local polynomial regression in pure Julia.

• EndoBeams.jl: Julia finite element package for beam-to-surface contact problems.

• SaveREPL.jl: A package for saving REPL commands to a script file.

• KernelAbstractions.jl: package that enables you to write GPU-like kernels targetting different execution backends.

Les 3 derniers packages sont un ensemble qui regroupe des techniques numériques classiques pour résoudre des EDP. L’objectif est de pouvoir les utiliser facilement avec de l’apprentissage statistique et explorer ces nouvelles méthodes sans passer trop de temps sur la partie analyse.

• NodalPolynomialSpaces.jl: Largrange polynomial based spectral PDE solvers.

• FourierSpaces.jl: Fourier spectral methods for solving partial differential equations.

• AbstractPDEInterfaces.jl: Ecosystem for writing partial differential equation solvers.

Vidéos

• Selection de vidéos JuliaCon 2022

Ma selection:

• High-performance xPU Stencil Computations in Julia

• The State of Julia (In 2022) with Jeff Bezanson

• Simple Chains: Fast CPU Neural Networks with Chris Elrod

• Metal.jl - A GPU backend for Apple hardware with Max Hawkins

• Monitoring Performance on a Hardware Level With LIKWID.jl with Carsten Bauer

• Automated Finite Elements: a comparison between Julia and C++ with Bart Janssens

• LinearSolve.jl: because A\b is not good enough with Chris Rackauckas

Tutoriels, ouvrages et documentation

• Julia for talented amateurs

• Calculus with Julia

• Interactive Visualization with Julia

• Resources for a short Introduction to Julia

• Implementation of a solver in Julia / Introduction to JuMP

Je vous souhaite une bonne rentrée!

Pierre

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