Particle-In-Cell Simulation using Asynchronous Tasking
Abstract
Recently, task-based programming models have emerged as a prominent alternative among shared-memory parallel programming paradigms. Inherently asynchronous, these models provide native support for dynamic load balancing and incorporate data flow concepts to selectively synchronize the tasks. However, tasking models are yet to be widely adopted by the HPC community and their effective advantages when applied to non-trivial, real-world HPC applications are still not well comprehended. In this paper, we study the parallelization of a production electromagnetic particle-in-cell (EM-PIC) code for kinetic plasma simulations exploring different strategies using asynchronous task-based models. Our fully asynchronous implementation not only significantly outperforms a conventional, synchronous approach but also achieves near perfect scaling for 48 cores.
Cite
@article{arxiv.2106.12485,
title = {Particle-In-Cell Simulation using Asynchronous Tasking},
author = {Nicolas Guidotti and Pedro Ceyrat and João Barreto and José Monteiro and Rodrigo Rodrigues and Ricardo Fonseca and Xavier Martorell and Antonio J. Peña},
journal= {arXiv preprint arXiv:2106.12485},
year = {2021}
}
Comments
Published on the 27th European Conference on Parallel and Distributed Computing (Euro-Par 2021)