NumPy & SciPy for GPU

Python interface to GPU-powered libraries

SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.

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, cuDNN, CUTLASS, TensorRT, TensorRT-LLM, Triton, TVM, MLIR 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

A Deep Learning Framework Written in Rust

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

Algorithms implemented in CUDA + resources about GPGPU

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.