Software architecture for parallel particle tracking with the distribution of large amount of data

Abstract

This study is about the architecture of a library designed for particle tracking. This library exposes common features used to track particles in large meshes using parallel algorithms to localize, manage, distribute and move particles over computing units. The proposed library design ables particles to be tracked using multiple heterogeneous parallel paradigms with component reusability. A customized algorithm to distribute particles over processes has been developed that uses different features of this architecture and shows a high impact on particle localization and movement execution time.