É um projeto conceito POC para Implementar algoritmos de processamento paralelo / concorrente clusterizado.

CUDA C++ Core Libraries

oneAPI Math Kernel Library (oneMKL) Interfaces

Linux And Parallel Computing Repository

oneAPI Specification source files

DiscoPoP - Discovery of Potential Parallelism

BSF-skeleton

Sample project demonstrating the use of memoization, dynamic programming, and multi-threading to efficiently handle repeated heavy tasks and optimize performance. Results are cached for quick retrieval, and Multi-Threaded processing accelerates computation.

mirai - Minimalist Async Evaluation Framework for R

Todas las prácticas (Paralelismo) de la asignatura de Concurrencia y Paralelismo UDC 23/24

A parallel runtime library for Fortran compilers

C++ class to increase development speed

A cost-optimal parallel algorithm based on Floyd-Warshall Algorithm in order to resolve the APSP problem

A General-purpose Parallel and Heterogeneous Task Programming System

GPU Programming with Python and CUDA.

CenyML provides a machine learning library and API programmed in C that was created by César Miranda Meza. The goal of this project is to provide a highly transparent machine learning library that prioritizes obtaining maximum performance.

A high-performance, zero-overhead, extensible Python compiler using LLVM

Python scripts, first traverses chrome Bookmark file and second removes stale entries. Includes Jenkinsfile to generate docker images.

This project implements the code examples from the course: `Concurrent and Parallel Programming in Python` by Maximilian Schallwig

C++ class for signal processing, async network programming, concurrency, parallel computing and multithreading