CPU/GPU portable array, parallel_for/parallel_reduce in Julia for productive science. Funded by the US DOE Advanced Scientific Computing Research (ASCR).

Advect fields using a finite difference WENO5 scheme on CPUs or GPUs.

No-overhead breakpoints in Julia

Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.

🧮 High-performance Material Point Method (MPM) Solver in Julia.

Short course at EGU 2025 conference https://meetingorganizer.copernicus.org/EGU25/session/53623

Crash course for Bayesian inversion

HPC setup for juliaup, julia and HPC key packages requiring system libraries

Snapshot and time-dependent inversions of glacier basal sliding

Finite differences and staggered grids on CPUs and GPUs

Introduction to Julia for ETHZ students in frame of Compicampus

Julia HPC miniapp using parallel models (MPI.jl, CUDA.jl, AMDGPU.jl, ADIOS2.jl) and Jupyter/Pluto.jl notebooks

Frontier GPU multi-physics solvers

Julia installer and version multiplexer

NUMA tools (from libnuma) for Julia

Julia bindings for the Enzyme automatic differentiator

A set of benchmarks and tests checking if the Julia HPC stack is ready for production use

Interactive examples for different geodynamic problems

Metal programming in Julia

Practical introduction to Julia for modelling and data analysis in biodiversity and earth sciences

Heterogeneous programming in Julia

Run your GitHub Actions locally 🚀