An Algorithm for Dynamic Load Balancing of Synchronous Monte Carlo Simulations on Multiprocessor Systems
P. Altevogt, A. Linke
TL;DR
This paper presents a dynamic load balancing algorithm tailored for synchronous Monte Carlo simulations on heterogeneous multiprocessor systems, optimizing resource utilization and simulation efficiency.
Contribution
It introduces a novel dynamic domain partitioning algorithm that adapts to processor resources in heterogeneous multiprocessor environments.
Findings
Improved load distribution in Monte Carlo simulations
Enhanced efficiency on heterogeneous systems
Adaptive partitioning reduces idle processor time
Abstract
We describe an algorithm for dynamic load balancing of geometrically parallelized synchronous Monte Carlo simulations of physical models. This algorithm is designed for a (heterogeneous) multiprocessor system of the MIMD type with distributed memory. The algorithm is based on a dynamic partitioning of the domain of the algorithm, taking into account the actual processor resources of the various processors of the multiprocessor system.
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