单位范围数字的表示

T. Lang, J. Bruguera
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引用次数: 0

摘要

浮点表示具有很大的动态范围,但对于具有有限范围的值的计算可能效率低下。这个问题是在- 1到1的范围内探讨的,例如,这是一些三角函数和指数的范围。示例显示的结果是不准确的,因为接近1的表示密度很小。尽管分数不动点表示似乎适合于这些计算,但它的均匀密度不允许表示接近于0和接近于1的值,从而导致类似的不准确性。为了提高准确率,我们提出了一种更合适的表示,我们称之为统一表示。这种表示法能够以高精度表示非常小的值,如浮点数,以及非常接近1的值。我们通过几个计算实例来说明这种表示的优点。此外,我们还列出了在浮点处理器中使用这种表示所需的体系结构支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representation of unit range numbers
Floating–point representation has a large dynamic range but can be inefficient for computations with values that have a limited range. This issue is explored here for values in the range −1 to 1, which, for instance, is the range of some trigonometric functions and exponentials. Examples are shown in which the results are inaccurate, because of the small density of the representation close to 1. Although a fractional fixedpoint representation seems suitable for these computations, its uniform density does not allow the representation of values close to zero and close to one, resulting in similar inaccuracies. To improve the accuracy, we propose a more suitable representation, that we call unity representation. This representation is able to represent very small values with high accuracy, as in floating point, as well as values very close to 1. We show the advantages of this representation providing several computation examples. Moreover, we list the architectural support that is needed to use this representation in a floating-point processor.
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