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

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

Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)

An implementation of parallel exclusive scan in CUDA

Code accompanying my blog post on k-means in Python, C++ and CUDA

The PatchMatch stereo match algorithm implemented by CUDA.

A structure from motion implemention in C++ and accelerated using CUDA

Example Makefile for CUDA and C++ source files in a standard project layout.

reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

High Performance Median Filtering Algorithm Based on NVIDIA GPU Computing

calculate mutual information and mattes mutual information in CUDA

WIP · CUDA compatibility for Blaze · https://bitbucket.org/blaze-lib/blaze

DISTWAR-enabled rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields"

Research oriented GPU offline renderer

Get started with CUDA programming

Some C++/C/CUDA Extension

This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

Finding the nearest neighbor for 3d points in KD tree. Two implementations: nn.cpp (CPU) and nn.cu (CUDA GPU).