NVIDIA curated collection of educational resources related to general purpose GPU programming.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Reusable compiler infrastructure for Julia GPU backends.

Collection of builder repositories for BinaryBuilder.jl

A Julia wrapper for the NVIDIA Collective Communications Library.

CUDA programming in Julia.

Continuous integration (CI) tools for Julia package registries, including registry consistency testing, automatic merging (automerge) of pull requests, and automatic TagBot triggers

Functionality for modifying Julia package registry files

Julia package registration bot

Plotting for Julia based on GR, a framework for visualisation applications

A documentation generator for Julia.

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

The official registry of general Julia packages

LinearSolve.jl: High-Performance Unified Linear Solvers

Counterpart of CUDA_Runtime_jll, but for discovering a local toolkit.

TempestRemap: Remapping software for climate applications

Visual Studio Code

High level plotting on the GPU.