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An advanced high performance replacement for (SINDA) systems improved numerical differencing analyzer

机译:(SINDA)系统的高级高性能替代品,改进了数值差分分析仪

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Space applications often utilize the NASA developed Systems Improved Numerical Differencing Analyzer (SINDA) for thermal systems analysis. SINDA is primarily meant to be a computer programming language designed to assist in the solution of finite difference problems. However, due to a substantial desire to maintain backwards compatibility, SINDAs development environment and performance have lagged behind modern capabilities and techniques. Some such techniques are object oriented programming, integrated debugger, and parallel processing. In the development of the enhanced Multi-Mission Radioisotope Thermoelectric Generator (eMMRTG), a substantial need for the development of a modern SINDA replacement was needed. This need prompted the creation of the Centralized Math Engine or CME. The theory, design, development and a few implementation examples are discussed in detail. The thermal models require substantially less time to develop, requiring approximately 80 vs 280 man-hours. A specific thermal model showed a speed up of 18.75x versus the SINDA equivalent due to the use of more sophisticated linear solvers.
机译:太空应用通常利用NASA开发的系统改进数值差分分析仪(SINDA)进行热系统分析。 SINDA的主要目的是成为一种计算机编程语言,旨在帮助解决有限差分问题。但是,由于强烈希望保持向后兼容性,因此SINDAs的开发环境和性能已落后于现代功能和技术。其中一些技术是面向对象的编程,集成的调试器和并行处理。在开发增强型多用途放射性同位素热电发生器(eMMRTG)时,迫切需要开发现代的SINDA替代品。这种需求促使创建了集中式数学引擎或CME。详细讨论了理论,设计,开发和一些实现示例。热模型需要更少的开发时间,大约需要80到280个工时。由于使用了更先进的线性求解器,因此特定的热模型显示出与SINDA等效的速度提高了18.75倍。

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