海军舰艇性能预测

R. Baxter
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引用次数: 5

摘要

诺登分部面临的任务是模拟在各种服务条件下运行的大型电子设备的船上行为,并由指定的线路和车间服务设施和人员提供支持。与大多数需要模拟的问题一样,它由大量动态数据和现实世界中复杂的相互关联的约束组成。很快就发现,数据量如此之大,即使是最大的计算机的核心需求也很容易被超越。选择的解决方案是解除GPSS/360语言的限制,以允许几乎无限的数据和模型大小。在解绑定中,矩阵保存值和块被分割成存储在磁盘上的部分,直到需要时才取出。然后,每个加载部分被称为覆盖。此外,矩阵保存值可以永久存储在磁盘上。因此,它们可以被其他模型访问,从而允许在通用仿真系统(GPSS)内建立数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of a Naval Vessel's Performance
Norden Division was faced with the task of simulating the shipboard behavior of a large suit of electronics operating under a variety of servicing conditions and supported by specified line and shop servicing facilities and personnel. As with most problems that require simulation, it consisted of large amounts of dynamic data and the complex interrelated constraints of the real world. It soon became apparent that the magnitude of data was such that the core requirements of even the largest computers could easily be exceeded. The response chosen was to unbound the GPSS/360 language to permit virtually unlimited data and model sizes. In unbounding, matrix savevalues and blocks are divided into sections stored on disk until required. Then each load section is called in as an overlay. Moreover, matrix savevalues can be permanently stored on disk. As such they are accessible to other models, thus permitting the establishment of data libraries within General Purpose Simulation System (GPSS).
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