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タイトルRobust Multivariable Optimization and Performance Simulation for ASIC Design
本文(外部サイト)http://hdl.handle.net/2060/20130011234
著者(英)DuMonthier, Jeffrey; Suarez, George
著者所属(英)NASA Goddard Space Flight Center
発行日2013-03-01
言語eng
内容記述Application-specific-integrated-circuit (ASIC) design for space applications involves multiple challenges of maximizing performance, minimizing power, and ensuring reliable operation in extreme environments. This is a complex multidimensional optimization problem, which must be solved early in the development cycle of a system due to the time required for testing and qualification severely limiting opportunities to modify and iterate. Manual design techniques, which generally involve simulation at one or a small number of corners with a very limited set of simultaneously variable parameters in order to make the problem tractable, are inefficient and not guaranteed to achieve the best possible results within the performance envelope defined by the process and environmental requirements. What is required is a means to automate design parameter variation, allow the designer to specify operational constraints and performance goals, and to analyze the results in a way that facilitates identifying the tradeoffs defining the performance envelope over the full set of process and environmental corner cases. The system developed by the Mixed Signal ASIC Group (MSAG) at the Goddard Space Flight Center is implemented as a framework of software modules, templates, and function libraries. It integrates CAD tools and a mathematical computing environment, and can be customized for new circuit designs with only a modest amount of effort as most common tasks are already encapsulated. Customization is required for simulation test benches to determine performance metrics and for cost function computation.
NASA分類Computer Programming and Software
レポートNOGSC-16185-1
権利Copyright, Distribution as joint owner in the copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/261298


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