JIT-compiled GPU kernels for quantum chemistry

cuVS - a library for vector search and clustering on the GPU

🚀 Build a fast inference engine for the QWEN3-0.6B model using CUDA, optimizing performance with minimal dependencies for efficient learning and practice.

A faster implementation of OpenCV-CUDA that uses OpenCV objects, and more!

FlashInfer: Kernel Library for LLM Serving

FLAME GPU 2 is a GPU accelerated agent based modelling framework for CUDA C++ and Python

GPU accelerated decision optimization

cuGraph - RAPIDS Graph Analytics Library

Graphics Processing Units Molecular Dynamics

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

GPU-accelerated triangle mesh processing

A high-performance computing project that implements the moment representation of the Lattice Boltzmann Method (LBM) on Nvidia GPUs using CUDA.

CUDA work-efficient scan, stream compaction, and radix sort

Parallel boids flocking simulation in CUDA

Real-time N-Body Algorithm Accelerated With CUDA and FFT (for up to 1 billion particles with multi GPU)

A plugin to use Nvidia GPU in PySCF package

High-performance computing project for multicomponent computational fluid dynamics (CFD) simulations using the Lattice Boltzmann Method (LBM) on NVIDIA GPUs with CUDA C++.

A dynamic binary instrumentation tool for tracing and analyzing CUDA kernel instructions.

100 days of writing CUDA kernels!

GPU Framework for Radio Astronomical Image Synthesis