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New on-line testing methods for approximate data processing in the computing circuits

机译:在计算电路中进行近似数据处理的新的在线测试方法

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This work addresses to problems of on-line testing for the computing circuits, which operate with approximate data. On-line testing development passed under action of model of the exact data, which has defined the purpose and reliability of its method only for a case of the exact data. Features of the approximated calculations make an error inessential in most cases. In this condition the on-line testing methods expose a new property to reject the reliable results detecting the inessential errors. This fact makes a problem of low reliability of on-line testing methods in checking the result. The ways to increase a reliability of the on-line testing methods in checking the result using the features of approximate calculations are shown. New on-line testing methods based on these ways is offered. Residue checking methods for truncated operations with mantissas, the methods using natural information redundancy of arithmetic results and the methods estimating size of errors are developed.
机译:这项工作解决了对使用近似数据进行操作的计算电路进行在线测试的问题。在线测试开发是在精确数据模型的作用下通过的,它仅针对精确数据的情况定义了其方法的目的和可靠性。在大多数情况下,近似计算的特征使误差变得无关紧要。在这种情况下,在线测试方法会暴露出新的特性,以拒绝检测非必要错误的可靠结果。这个事实导致在线测试方法检查结果的可靠性低的问题。显示了使用近似计算的功能来提高在线测试方法检查结果可靠性的方法。提供了基于这些方式的新的在线测试方法。提出了用于尾数截断运算的残差检验方法,利用算术结果自然信息冗余的方法以及估计误差大小的方法。

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