Nvidia

FlashInfer: Kernel Library for LLM Serving

cuGraph - RAPIDS Graph Analytics Library

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

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

CUDA Kernel Benchmarking Library

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

Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

SDK for GPU accelerated genome assembly and analysis

Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.

Algorithms implemented in CUDA + resources about GPGPU

Fast Fourier Transform implementation, computable on CUDA platform. Seminar project for MI-PRC course at FIT CTU.

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

a real-time N-body simulation with the Barnes-Hut algorithm and CUDA

A collection of awesome algorithms, implemented in CUDA.

Source code of "GPU-accelerated elliptic curve digital signature algorithms", accepted by SC'22 - by Zonghao Feng, Qipeng Xie, Qiong Luo, etc.

General Matrix Multiplication using NVIDIA Tensor Cores

#计算机科学#Get started with CUDA programming

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along ...

In this code is provided a simple, efficient and fast method to calculate motion and backgroud dynamically using nVidia GPUs power