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Initial development of a genetic algorithm to automate system implementation in a novel electronic packaging technology

机译:一种遗传算法在新型电子包装技术中自动化系统实现的遗传算法

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Implementing electronic systems in a low-cost, three-dimensional multichip module (MCM) technology provides significantly improved system density over planar packaging technologies. However, the extra dimension necessitates a new approach to design automation. Through experience gained in manually partitioning electronic systems, generic design rules have been formulated and implemented in software. The approach adopted is based on a genetic algorithm which can produce multiple candidate solutions and has the potential to simultaneously optimize multiple design criteria. This paper presents the initial results for the automatic configuration of a variety of systems. The results obtained by the algorithm are compared to known optimal solutions for "test" cases and to the results obtained by manual partitioning for the first heterogeneous MCM-V system.
机译:以低成本实现电子系统,三维多芯片模块(MCM)技术在平面包装技术方面提供了显着改善的系统密度。但是,额外的维度需要一种设计自动化的新方法。通过在手动分区电子系统中获得的经验,已在软件中制定和实现了通用设计规则。采用的方法基于遗传算法,可以产生多种候选解决方案,并且具有同时优化多种设计标准的可能性。本文介绍了自动配置各种系统的初始结果。通过将该算法获得的结果与“测试”案例的已知最佳解决方案进行比较,并通过针对第一异构MCM-V系统进行手动分区获得的结果。

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