NumPy-like API accelerated with CUDA

Python interface to GPU-powered libraries

Deep Learning library using GPU(CUDA/cuBLAS)

Parallel Computing Library for Linux and macOS & NVIDIA CUDA Wrapper

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

Algorithms implemented in CUDA + resources about GPGPU

code for benchmarking GPU performance based on cublasSgemm and cublasHgemm

Lab exercise of Parallel Processing course in NTUA regarding CUDA programming

Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs

Safe CUDA cuBLAS wrapper for the Rust language.

🐮 Harness the power of the GPU with '((((((cuBLAS in Common Lisp

HSD: Hierarchical Spherical Defomration for Cortical Surface Registration

Generalized Orthogonal Least-Squares in CUDA

Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA

The repository targets the OpenCL gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能，提供binary，开盒即用。

Python interface to the NVIDIA CublasXt API

GPGPU Inverse Distance Weighting using matrix vector multiplication

A neat C++ custom Matrix class to perform super-fast GPU (or CPU) powered Matrix/Vector computations with minimal code, leveraging the power of cuBLAS where applicable.

gpumm - matrix-matrix multiplication by using CUDA, cublas, cublasxt and OpenACC.

A comparison between single thread program against multi-threading and CUDA approaches

GPU linear algebra functions callable from Python

learning mnist with euslisp

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

cuBLAS for pycu_interface.

Level 3 matrix multiplication using both cublas and mkl.

Cuda NN inference

matrix operation using gpu