cuGraph - RAPIDS Graph Analytics Library
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Updated
Mar 26, 2026 - 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
Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.
SDK for GPU accelerated genome assembly and analysis
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
Deterministic GPU PCIe link and bandwidth diagnostic using observable hardware data (NVML + CUDA memcpy).
A collection of awesome algorithms, implemented in CUDA.
Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo
Get started with CUDA programming
High-performance LLM inference engine in C++/CUDA for NVIDIA Blackwell GPUs (RTX 5090)
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993