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

An implementation of physically based shading & image based lighting in D3D11, D3D12, Vulkan, and OpenGL 4.

CUDA Templates for Linear Algebra Subroutines

CUDA Matrix Multiplication Optimization

A repo for numerical methods written in Rust with wrappers for Python

RISC-V Embedded Processor for Approximate Computing

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

pnn is Darknet compatible neural nets inference engine implemented in Rust.

A personal knowledge management and sharing system for VSCode

CUDA Core Compute Libraries

A minimal GPU design in Verilog to learn how GPUs work from the ground up

A modern C++ BVH construction and traversal library

Build mindmaps with plain text

A mini x86 linux debugger for teaching purposes

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Pure DOOM - Single Header Doom Source Port

A collection of out-of-tree LLVM passes for teaching and learning

OpenFOAM Foundation development repository

A toy physically based GPU path tracer (C++/OpenGL/GLSL)

Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.

CUDA on non-NVIDIA GPUs

High-level rendering components

A collection of C functions that are useful for writing simulations

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Vulkan GPU-offloading layer

Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

Intel® NPU (Neural Processing Unit) Driver