The Global-Scale Agent Model (GSAM) is presented. The GSAM is a high-performance distributed platform for agent-based epidemic modeling capable of simulating a disease outbreak in a population of several billion agents. It is unprecedented in its scale, its speed, and its use of Java. Solutions to multiple challenges inherent in distributing massive agent-based models are presented. Communication, synchronization, and memory usage are among the topics covered in detail. The memory usage discussion is Java specific. However, the communication and synchronization discussions apply broadly. We provide benchmarks illustrating the GSAM's speed and scalability.

中文翻译：

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基于全球规模代理的疾病传播模型的分布式平台。

介绍了全球规模代理模型 (GSAM)。GSAM 是一个高性能分布式平台，用于基于代理的流行病建模，能够模拟数十亿代理人口中的疾病爆发。它的规模、速度和对 Java 的使用都是前所未有的。提出了解决分布大量基于代理的模型所固有的多种挑战的解决方案。通信、同步和内存使用是详细涵盖的主题。内存使用讨论是特定于 Java 的。但是，通信和同步讨论的适用范围很广。我们提供了说明 GSAM 速度和可扩展性的基准。