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Automation of Significance Analyses with Interval Splitting

机译:间隔分裂的重要性分析的自动化分析

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In the SCoRPiO project we are interested in the significance of program code with regard to its outputs in order to compute less significant parts for instance on less reliable but power saving hardware. Multiple approaches can be taken including pure interval arithmetics [ 1], Monte Carlo methods, and a tool chain for interval derivative based significance analysis. The tool chain dco/scorpio [2,3] was introduced in the SCoRPiO project. In this paper we propose to automate the process of interval derivative based significance analysis to widen input domains. We present an interval splitting approach to handle difficulties introduced by the interval evaluation, e.g. unfeasible relational operators or the wrapping effect. Each split will result in multiple scenarios which can be computed in parallel. The presented approach is a step forward towards a fully automatic significance analysis of computer code.
机译:在Scorpio项目中,我们对计划代码的重要性感兴趣于其输出,以便在更可靠但省电硬件上计算不太重要的零件。可以采用多种方法,包括纯间隔算法[1],蒙特卡罗方法和基于间隔衍生的重要性分析的工具链。在天蝎座项目中引入了工具链DCO / SCORPIO [2,3]。在本文中,我们建议自动化基于间隔衍生性的重要性分析过程来扩大输入域。我们提出了一种间隔分裂方法来处理间隔评估介绍的困难,例如,不可行的关系运营商或包装效果。每个拆分将导致多种方案,可以并行计算。提出的方法是对计算机代码全自动意义分析的前进。

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