Real-Time Agent-Based Modeling Simulation with in-situ Visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing.

Nuttiiya Seekhao, Caroline Shung, Joseph JaJa, Luc Mongeau, Nicole Y K Li-Jessen
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引用次数: 6

Abstract

We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was implemented under a client-server paradigm that enables remote users to visualize and analyze simulation data as it is being generated at each time step of the model. Performance of a simulation case study of vocal fold inflammation and wound healing with 3.8 million agents shows 35× and 7× speedup in execution time over single-core and multi-core CPU respectively. Each iteration of the model took less than 200 ms to simulate, visualize and send the results to the client. This enables users to monitor the simulation in real-time and modify its course as needed.

Abstract Image

Abstract Image

Abstract Image

基于智能体的实时建模仿真与复杂生物系统的原位可视化:声带炎症和愈合的案例研究。
我们提出了一种高效且可扩展的方案,用于在异构计算平台上实现基于代理的建模(ABM)仿真和大型复杂系统的原位可视化。该方案旨在优化由多核CPU和GPU组成的异构平台上的可用资源,从而最小化或没有资源空闲时间。此外,该方案是在客户机-服务器范式下实现的,该范式使远程用户能够在模型的每个时间步生成仿真数据时对其进行可视化和分析。在380万个代理的声带炎症和伤口愈合模拟案例研究中,执行时间分别比单核和多核CPU加快35倍和7倍。模型的每次迭代花费不到200毫秒的时间来模拟、可视化并将结果发送给客户端。这使用户能够实时监控模拟并根据需要修改其过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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