GPGPU Inverse Distance Weighting using matrix vector multiplication

Generalized Orthogonal Least-Squares in CUDA

Level 3 matrix multiplication using both cublas and mkl.

cuBLAS for pycu_interface.

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

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

A MNIST handwritten digit classifier written from scratch in Cuda - C

Lab exercise of Parallel Processing course in NTUA regarding CUDA programming

Simple VGG16 implemented in CUDA

Collection of CUDA wrappers for a simplified kernel call

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

Algorithms implemented in CUDA + resources about GPGPU

cuBLAS GEMM Example for FP32 MatMul

code for benchmarking GPU performance based on cublasSgemm and cublasHgemm

Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.

A CUBLAS‐CUDA Based Implementation of Multi-GPU Large Matrix Multiplication

Matrix Exponential Approximation using CUDA

Nonnegative matrix factorizations using CUDA