CuPy first example computing GEMM with cuBlas, with handwritten cuda kernel and with NumPy-blas

matrix operation using gpu

cuBLAS for pycu_interface.

Framework, toolkit and ready-to-use applications for numerical linear algebra dependent machine learning algorithms.

NumPy-like API accelerated with CUDA

cuBLAS GEMM Example for FP32 MatMul

Explore performance implications of various matrix multiplication approaches using GPU/CUDA compared to CPU side processing

Extreme Learning Machine for image classification implemented using Cuda C++ and cuBLAS

custom Basic cuBLAS example from modifying NVIDIA cuBLAS Samples

Level 3 matrix multiplication using both cublas and mkl.

Лабораторные работы по курсу "Параллельное программирование"

Dynamic bindings to the CuBLAS library for the D Programming Language.

Modular Image processing Library toolKit (milk)

This project utilizes CUDA and cuBLAS to optimize matrix multiplication, achieving up to a 5x speedup on large matrices by leveraging GPU acceleration. It also improves memory efficiency and reduces data transfer times between CPU and GPU.

cuda、cublas、cublaslt、cusparse...

GPU linear algebra functions callable from Python

A CUDA approach for computing the multiplication of a transposed matrix with the initial one, using the cuBLAS library.