En este repositorio encontrarás todos los códigos utilizados y creados durante mi tercer año de carrera en la asignatura de Programación Paralela. Para desarrollar estos códigos, he utilizado MobaXterm.

Parallel programming for Merge sort algorithm using OpenMP and CUDA

Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake using PyBind11

A comparative study of high-performance neural network evaluation using OpenMP for multi-core CPUs and CUDA for NVIDIA GPUs. Includes performance analysis and speedup benchmarks.

advection solver for shared address space programming models

Project for the 2024 course of HPC: generator of streamplot of complex-valued functions

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

Parallelization Strategies for a Multi-Layer Neural Network in OpenMP and CUDA

it aims to accelerate svd matrix by using multigpu

Examples of MPI and OpenMP (adapted from MPI Tutorial)

Sample of using OpenMP and CUDA: single GPU, multiple CPU

CUDA implementation of Dominator Tree problem

Introduction to HPC & CUDA programming (GP5)

University project of the Parallel Computing course. There are two challenges that are solved using parallel computing techniques and two famous frameworks: OpenMP and CUDA.

Solutions to the assignments undertaken during the Programming for Performance Course (CS610) in the 7th semester at IITK under Prof. Swarnendu Biswas

Comparison of CUDA and OpenMP implementations of the Bellman-Ford algorithm

Parallel Computing course materials from Harbin Institute of Technology(Shenzhen).

👾 CUDA examples for deep learning problems

Parallel Internet Routing Algorithm with OpenMP and CUDA