CUDA Kernel Benchmarking Library

From zero to hero CUDA for accelerating maths and machine learning on GPU.

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

CUDA kernel author's tools

High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.

A tool for examining GPU scheduling behavior.

CUDA Guide

Speed up image preprocess with cuda when handle image or tensorrt inference

Using custom CUDA kernels with Open CV Mat objects.

cuda编程学习入门

CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.

This is a Lattice-Boltzmann simulation using CUDA GPU graphics optimization.

CUDA Programming Practices

Get started with CUDA programming

Some common CUDA kernel implementations (Not the fastest).

Cahn Hilliard CUDA (Phase-Field Simulation of Spinodal Decomposition)

Allen Cahn CUDA (Phase-Field Simulation of Dendritic Solidification)

An extesnion for PHP allowing it to access GPU operations on CUDA graphics cards (NVIDIA)

🍕 Massively parallel DBSCAN algorithm implemented in CUDA.

Playing with CUDA and GPUs in Google Colab