Implementation code for Programming Massively Parallel Processors (PMPP)
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Updated
Jun 26, 2024 - Cuda
Implementation code for Programming Massively Parallel Processors (PMPP)
A place where I learn about CUDA
Sparse matrix-vector product kernel in C, parallelized using OpenMP and CUDA for computing y←Ax
EUMaster4HPC student challenge group 7 - EuroHPC Summit 2024 Antwerp
K-Means clustering implementation with parallelization using OpenMP and CUDA for efficient computation.
bilibili视频【CUDA 12.1 并行编程入门(C++语言版)】配套代码
A parallel implementation of the K-Nearest neighbors algorithm using CUDA in GPU.
A simple library-less CUDA implementation of the OneSweep sorting algorithm.
This project aims to solve the futoshiki game in sequential and parallel ways, including sequential, openmp and cuda.
My GitHub Repo for UIUC ECE408 Applied Parallel Programming, mainly focus on CUDA programming and algorithm implementation.
Codigo hecho en C/Cuda, tratamaos de procesar una imagen mediante una GPU de Nvidia. EL procesamiento de imagenes se trata de pasarles un filtro a la imagen proporcionada.
An Exact K-Nearest Neighbours Optimisation Study Project Using Parallel Programming on CUDA
An NVIDIA CUDA Project.
Project for the PMPH class from University of Copenhagen A.Y. 2023/2024
study of cutlass
Sequential and parallel implementation of different Centrality Measures.
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