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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2024 . Peer-reviewed
License: Springer Nature TDM
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https://dx.doi.org/10.48550/ar...
Article . 2024
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Beating Posits at Their Own Game: Takum Arithmetic

Authors: Laslo Hunhold;

Beating Posits at Their Own Game: Takum Arithmetic

Abstract

Recent evaluations have highlighted the tapered posit number format as a promising alternative to the uniform precision IEEE 754 floating-point numbers, which suffer from various deficiencies. Although the posit encoding scheme offers superior coding efficiency at values close to unity, its efficiency markedly diminishes with deviation from unity. This reduction in efficiency leads to suboptimal encodings and a consequent diminution in dynamic range, thereby rendering posits suboptimal for general-purpose computer arithmetic. This paper introduces and formally proves 'takum' as a novel general-purpose logarithmic tapered-precision number format, synthesising the advantages of posits in low-bit applications with high encoding efficiency for numbers distant from unity. Takums exhibit an asymptotically constant dynamic range in terms of bit string length, which is delineated in the paper to be suitable for a general-purpose number format. It is demonstrated that takums either match or surpass existing alternatives. Moreover, takums address several issues previously identified in posits while unveiling novel and beneficial arithmetic properties.

72 pages, 22 figures, Conference for Next Generation Arithmetic 2024 (CoNGA 2024)

Keywords

FOS: Computer and information sciences, Numerical Analysis, Data Structures and Algorithms, G.1.0; B.2.0, FOS: Mathematics, Data Structures and Algorithms (cs.DS), Numerical Analysis (math.NA), 68M07 (Primary), 65G30, 65Y04 (Secondary)

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green