# Dynamic Load Balancing for PIC code using Eulerian/Lagrangian partitioning

## TL;DR

This paper analyzes various load balancing strategies, including static and dynamic algorithms, for a plasma physics Particle-In-Cell (PIC) code, comparing Lagrangian and Eulerian partitioning methods to optimize high-energy particle beam simulations.

## Contribution

It provides a comparative analysis of load balancing techniques and partitioning strategies specifically for PIC plasma physics simulations.

## Key findings

- Dynamic load balancing improves performance over static methods.
- Lagrangian and Eulerian partitioning have distinct advantages in different scenarios.
- The paper offers insights into optimal load balancing for high-energy particle beam modeling.

## Abstract

This document presents an analysis of different load balance strategies for a Plasma physics code that models high energy particle beams with PIC method. A comparison of different load balancing algorithms is given: static or dynamic ones. Lagrangian and Eulerian partitioning techniques have been investigated.