涡喷发动机控制程序中并发数据流分析

P. L. Shaffer, T. Johnson
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引用次数: 5

摘要

提出了引擎控制算法中固有的并发量,以及基于现有程序的并发量计算方法。该控件被划分为功能块,然后分析数据依赖关系和执行时间。通过对瓶颈函数的修改和分解,提高了并发性。对于所分析的控制程序,在功能级别上利用并发性可以将执行时间减少到顺序执行时间的15%。本文报道了由GE发起并根据美国空军未来先进控制技术研究(FACTS)[1]继续进行的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Flow Analysis of Concurrency in a Turbojet Engine Control Program
The amount of concurrency which is inherent in an engine control algorithm, and a methodology for computing this measure based on existing programs, are presented. The control is partitioned into functional blocks, followed by analyses of data dependencies and of execution time. Concurrency is increased by modification and decomposition of bottleneck functions. For the control program analyzed, exploitation of concurrency at the function level allows a reduction of execution time to 15% of the sequential execution time. This paper reports work originated by GE and continued there in accordance with the USAF Future Advanced Control Technology Study (FACTS) [1].
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