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A GPU Algorithm for Agent-Based Models to Simulate the Integration of Cell Membrane Signals
Acta Biotheoretica ( IF 1.4 ) Pub Date : 2019-08-29 , DOI: 10.1007/s10441-019-09360-0
Arthur Douillet 1 , Pascal Ballet 1
Affiliation  

Simulation of complex biological systems with agent-based models is becoming more relevant with the increase in Graphics Processing Unit (GPU) power. In those simulations, up to millions of virtual cells are individually computed, involving daunting processing times. An important part of computational models is the algorithm that manages how agents perceive their surroundings. This can be particularly problematic in three-dimensional environments where agents have deformable virtual membranes. This article presents a GPU algorithm that gives the possibility for agents to integrate the signals scattered on their virtual membrane. It is detailed to be coded in languages like OpenCL or Cuda. Its performances are tested to show its speed with current GPU devices. Finally, it was implemented inside an existing software to test and illustrate the possibilities it offers.

中文翻译:

基于代理模型模拟细胞膜信号整合的 GPU 算法

随着图形处理单元 (GPU) 功能的增加,使用基于代理的模型模拟复杂的生物系统变得越来越重要。在这些模拟中,多达数百万个虚拟单元被单独计算,涉及令人生畏的处理时间。计算模型的一个重要部分是管理代理如何感知周围环境的算法。这在代理具有可变形虚拟膜的三维环境中尤其成问题。本文介绍了一种 GPU 算法,该算法为代理整合分散在其虚拟膜上的信号提供了可能性。详细说明可以使用 OpenCL 或 Cuda 等语言进行编码。它的性能经过测试,以显示其在当前 GPU 设备上的速度。最后,
更新日期:2019-08-29
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