Distributed implementation of the nonlocal heat equation

Parallel implementation of a simple ecosystem based on Lotka-Volterra model (Predator-Prey).

Modified version of BIotDD with more functions added. Later need to be merged with BiotDD.

A two-dimensional domain decomposition using MPI to communicate and reduce matrix & array computations in the equation y=Ax.

Decompose 2D/3D structured meshes between multiple MPI processes in a pencil-like manner

ACSE9 Project code repo

Eikonal CUDA implementation for the Advanced Methods for Scientific Computing (AMSC) Course @POLIMI

A Multilevel Schwarz Preconditioner Based on a Hierarchy of Coarse Spaces

Master-slave parallel implementation to identify prime numbers in an array.

The goal of this trial is to use the socket programming concept to connect cores belonging to the same processor and participate in solving a mathematical problem.

GPU-accelerated rectangular decomposition for sound propagation modeling ⚡ 📦

Code for training and inferring acoustic wave propagation in 3D

Serial and Parallel numerical methods for solving partial differential equations using finite differences with OpenMP. Implementation of the serial and parallel Jacobi and Gauss-Seidel methods for solving linear systems. Implementation of the Additive Schwarz and Restricted Additive Schwarz methods for domain decomposition.

bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.

Finite and boundary element methods on Python

A Julia finite element tearing and interconnecting (FETI) prototype implementation.

Fluid flow simulator using MFEM and multiscale space-time sub-domains.

A Robust Algebraic Domain Decomposition Preconditioner For Sparse Normal Equations

Photoelectrochemical Solar Cell Simulator in 1D

Domain decomposition learning algorithms for elliptic boundary value problems, with focus on the classical Dirichlet-Neumann and Robin-Robin algorithms.