Code supporting the RAL paper "Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA"
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Updated
Sep 14, 2021 - Cuda
Code supporting the RAL paper "Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA"
Prácticas de Programación Paralela (PPR), Grado en Ingeniería Informática, UGR 2017-2018
Práctica 1 y 2 de Paralelismos de la asignatura de Concurrencia y Paralelismo de la Universidad De A Coruña (UDC) en el grado de ingeniería informática curso 2021/2022 GEI-CP 614G010182122
Práctica 3 de Paralelismos de la asignatura de Concurrencia y Paralelismo de la Universidad De A Coruña (UDC) en el grado de ingeniería informática curso 2021/2022 GEI-CP 614G010182122
P_thread parallel programming task, cache coherency.
Repositório de resolução de exercícios da disciplina de Linguagem de Programação 3 do IFSP
Projeto de Análise de Redes Sociais cuja intenção é encontrar a clique máxima em um grafo.
Atividade de OpenCL para a disciplina de Computação Paralela do 6º semestre do curso de Ciência da Computação da UNIFOR.
goexpert-stresstest
Trabalho prático da disciplina de Computação Paralela
RandomMazeSolver is a program capable of generating and solving mazes randomly. It also makes use of the parallelism paradigms offered by the OpenMP library in order to speed the execution up.
Tercera práctica de la UF01 de la asignatura C#.
Source code for the Lattice Boltzmann Method for the Cavity Flow Problem.
Modele de sincronizare a unor situatii din trafic utilizand Java
A study project focused on concurrency and parallelism in Elixir using GenServer and GenStage. The project covers the behavior and performance of these abstractions in a concurrent and parallel environment through practical examples and exercises
John Conway's implementation using multithreaded Go lang and distributed computing.
Easy distribution of python classes across servers
Atividade de OpenMP para a disciplina de Computação Paralela do 6º semestre do curso de Ciência da Computação da UNIFOR.
goexpert-s3
This code utilizes CUDA for parallel vector multiplication on a GPU, demonstrating GPU's acceleration capabilities.
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