Squeeze-and-Excitation Networks

GPU Accelerated t-SNE for CUDA with Python bindings

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

cuGraph - RAPIDS Graph Analytics Library

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

FlashInfer: Kernel Library for LLM Serving

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.

CUDA Kernel Benchmarking Library

PopSift is an implementation of the SIFT algorithm in CUDA.

Graphics Processing Units Molecular Dynamics

A simple GPU hash table implemented in CUDA using lock free techniques

SDK for GPU accelerated genome assembly and analysis

my own implementation of the WCSPH, DFSPH and PBD fluid solvers using CUDA and C++

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

an implementation of parallel linear BVH (LBVH) on GPU

Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP