An open source parallel C++ package for the material point method (MPM)
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Updated
Oct 10, 2024 - C++
An open source parallel C++ package for the material point method (MPM)
A parallel and GPU-accelerated Code for Real-Space All-Electron Linear-Scaling Density Functional Theory
Password Cracker program coded in C++ language by applying brute force algorithm and parallelizing it using MPI and OpenMP
Iterative solvers with MPI parallelization
C++ MPI program for rectangle sum of some user-entered functions.
A Parallelized Solution of the 2D Heat Conduction Equation on a Square Plate Using MPI.
Program coded in C++ language to solve the consensus problem between multiple threads using MPI
💻 N-Body problem parallelization with OpenMP and MPI
A parallel molecular dynamics simulation algorithm for studying the thermal stability of nanoalloys.
Parallel computing exercises using C. OpenMP, MPI, CUDA.
This repository showcases the parallelization of the Grey Wolf Optimizer (GWO) and the development of the History-Guided Trend-adjusted GWO (HGT-GWO) with a focus on master-worker island parallelization, as part of the High Performance Computing for Data Science course group project at the University of Trento.
Parallel calculation course in 6 term at MIPT.
Fast Fourier Transform on C++/Python with parallelism
Fontes relacionados as atividades desenvolvidas na turma de CE-265 Processamento Paralelo ministrada pelo Professor Jairo Panetta - ITA - 2011.
MPI parallelization for various numerical methods and miscellaneous problems using C
Assignments done for a Parallel Programming course at @ufms.
Examples of Distributed-Memory Programming with MPI
This project focuses on enhancing the efficiency of the DES cryptographic algorithm by parallelizing its implementation using OpenMP. By dividing the plain text into substrings of length '8' and leveraging block cipher properties, the algorithm achieves parallel processing on multiple processors.
Некоторые задачи на MPI и OpenMP фреймворках
🍎👉🍏 Everything you need in order to get started building distributed machine learning with Apple's MLX
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