General Matrix Multiplication using NVIDIA Tensor Cores

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.

CUDA C simple application for Nvidia's GPU

Measure bandwidth of multiple simultaneously started cudaMemcpyAsync

CUDA script to check NVIDIA GPU device properties & memory available

Modelling parallel processing with GPU

The general Idea of this project is to generate a Fibonacci Sequence and sort it by Manual Sorting Algorithms Such as (Bubble Sort, Quick Sort, Merge Sort, and Heap Sort) And Also Sorting Algorithms by Thrust Library such as (‘thrust::sort’ and ‘thrust::transform’) at the same time.

High-performance computing on clusters using NVIDIA graphics accelerators. GPU Programming on NVIDIA CUDA, profiling and optimization with NVVP.

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

BitCaine5 the mining engine meets æternity blockchain technology

MicroCoin miner for NVIDIA CUDA compatible GPUs

An implementation of Principal Direction Divisive Partitioning in CUDA. University project for the course "Software & Programming of High Perfomance Systems". Course Code: CEID_NE5407

CUDA implementation of vector additon, matrix multiplication, reduction and sorting

Parallel Heterogeneous CPU/GPU computing

Bechmarck basado en la operacion suma para CPU y GPUs Nvidia con tecnología CUDA.

Code from my Tutorial series on Hive about Nvidia's CUDA API

Calculate minus of 2D arrays on GPU

RMAT Graph Generator for NVIDIA CUDA

Implementation of LeNet-1 Forward Propagation algorithm in CUDA C and profiling of the possible optimisation solutions