cublas

NumPy & SciPy for GPU

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

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.

🚀🚀🚀 This repository lists some awesome public CUDA, cuda-python, cuBLAS, cuDNN, CUTLASS, TensorRT, TensorRT-LLM, Triton, TVM, MLIR, PTX 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

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

A Deep Learning framework with very few dependencies, Written in Rust

Algorithms implemented in CUDA + resources about GPGPU

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.

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

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

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

Examples showing how to utilize the NVML library for GPU monitoring