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Optimizing the Efficiency, Vulnerability and Robustness of Road-Based Para-Transit Networks Using Genetic Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Parallel Performance Analysis of Bacterial Biofilm Simulation Models

Authors : M. V. Sheraton, Peter M. A. Sloot

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

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Abstract

Modelling and simulation of bacterial biofilms is a computationally expensive process necessitating use of parallel computing. Fluid dynamics and advection-consumption models can be decoupled and solved to handle the fluid-solute-bacterial interactions. Data exchange between the two processes add up to the communication overheads. The heterogenous distribution of bacteria within the simulation domain further leads to non-uniform load distribution in the parallel system. We study the effect of load imbalance and communication overheads on the overall performance of simulation at different stages of biofilm growth. We develop a model to optimize the parallelization procedure for computing the growth dynamics of bacterial biofilms.

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Metadata
Title
Parallel Performance Analysis of Bacterial Biofilm Simulation Models
Authors
M. V. Sheraton
Peter M. A. Sloot
Copyright Year
2018
Book
Computational Science – ICCS 2018

Print ISBN: 978-3-319-93697-0

Electronic ISBN: 978-3-319-93698-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93698-7_38

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