Interactive data visualizations and plotting in Julia

CUDA programming in Julia.

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

A Julia wrapper for TensorFlow

Climate Machine: an Earth System Model that automatically learns from data

Metal programming in Julia

Reusable array functionality for Julia's various GPU backends.

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

A Julia package to perform Bifurcation Analysis

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

Julia support for the oneAPI programming toolkit.

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

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Reusable compiler infrastructure for Julia GPU backends.

ETH course - Solving PDEs in parallel on GPUs

Using Vulkan from Julia

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop