NumPy & SciPy for GPU

Python interface to GPU-powered libraries

Safe rust wrapper around CUDA toolkit

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

🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT and High Performance Computing (HPC) projects.

Hooked CUDA-related dynamic libraries by using automated code generation tools.

Deep Learning library using GPU(CUDA/cuBLAS)

Parallel Computing Library for Linux and macOS & NVIDIA CUDA Wrapper

Algorithms implemented in CUDA + resources about GPGPU

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

Code for testing the native float16 matrix multiplication performance on Tesla P100 and V100 GPU based on cublasHgemm

Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.

code for benchmarking GPU performance based on cublasSgemm and cublasHgemm

Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io

Examples showing how to utilize the NVML library for GPU monitoring

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

Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, this system offers unparalleled real-time performance in state and covariance estimation for robotics and autonomous system applications.

Real-time GPU Beamformer for DSA110 written in C/CUDA

A multilayer perceptron (for simple image classification), accelerated with CUDA