区间和浮点比较器/选择器的组合

A. Akkas
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引用次数: 13

摘要

区间算法为数值误差的自动监测提供了一种鲁棒的方法,可用于解决浮点算法无法有效解决的问题。本文提出了一种区间与浮点组合比较器/选择器的设计与实现,该比较器/选择器可以进行区间交叉、船体、幅度、幅度、最小值、最大值和比较,以及浮点最小值、最大值和比较。面积和延迟估计表明,组合间隔和浮点比较器/选择器的面积比传统的浮点比较器/选择器大98%,最坏情况下延迟比传统的浮点比较器/选择器大42%。区间和浮点比较器/选择器的组合极大地提高了区间选择操作的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A combined interval and floating-point comparator/selector
Interval arithmetic provides a robust method for automatically monitoring numerical errors and can be used to solve problems that cannot be efficiently solved with floating-point arithmetic. This paper presents the design and implementation of a combined interval and floating-point comparator/selector, which performs interval intersection, hull, mignitude, magnitude, minimum, maximum, and comparisons, as well as floating-point minimum, maximum and comparisons. Area and delay estimates indicate that the combined interval and floating-point comparator/selector has 98% more area and a worst case delay that is 42% greater than a conventional floating point comparator/selector. The combined interval and floating-point comparator/selector greatly improves the performance of interval selection operations.
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