cuGraph - RAPIDS Graph Analytics Library
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Updated
May 25, 2024 - Cuda
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
cuGraph - RAPIDS Graph Analytics Library
CUDA Kernel Benchmarking Library
SDK for GPU accelerated genome assembly and analysis
A minimal GPU algorithm benchmark
bilibili视频【CUDA 12.1 并行编程入门(C++语言版)】配套代码
CUDA Algorithm && Hacker's Delight
🧩 Cuda Shortest Paths - Parallel Dijkstra and Floyd algorithms using Nvidia CUDA to calculate All-Pairs Shortest Path (APSP) in a given graph represented by its adjacency matrix.
Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.
Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.
Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo
Fast Fourier Transform implementation, computable on CUDA platform. Seminar project for MI-PRC course at FIT CTU.
Get started with CUDA programming
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993