A multiple sclerosis two-compartmental differential equation computational model 3D simulation using OpenCL

IF 3.1 3区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Science Pub Date : 2025-02-01 DOI:10.1016/j.jocs.2024.102516

Matheus Ávila Moreira de Paula , Gustavo G. Silva , Gabriela Machado Gazola , Barbara M. Quintela , Marcelo Lobosco

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引用次数: 0

Abstract

Expanding on our previous conference paper (de Paula et al., 2023), this work introduces a novel two-compartmental 3D mathematical model based on differential equations to simulate Multiple Sclerosis (MS) dynamics. The mathematical model incorporates key MS processes like lymphocyte infiltration, antigen presentation, adaptive immune response activation, and demyelination. Implementing such a multi-scale, 3D problem is inherently complex. To address this, we utilised a heterogeneous computing environment combining CPUs and GPUs. However, this environment introduces load-balancing challenges. Initially, we tackled these challenges by employing two distinct load-balancing approaches to optimise simulation performance. Results reveal performance improvements of up to

4.4 \times

compared to the non-load-balanced version.

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来源期刊

Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

5.50

自引率

3.00%

发文量

227

审稿时长

41 days

期刊介绍： Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).