Software Implementation of Floating-Point Arithmetic

Jean-Michel Muller, Nicolas Brunie, Florent de Dinechin, Claude-Pierre Jeannerod, Mioara Joldes, Vincent Lefèvre, Guillaume Melquiond, Nathalie Revol and Serge Torres
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Jean-Michel Muller: CNRS - LIP
Nicolas Brunie: Kalray
Florent de Dinechin: INSA-Lyon - CITI
Claude-Pierre Jeannerod: Inria - LIP
Mioara Joldes: CNRS - LAAS
Vincent Lefèvre: Inria - LIP
Guillaume Melquiond: Inria - LRI
Nathalie Revol: Inria - LIP
Serge Torres: ENS-Lyon - LIP

Chapter Chapter 9 in Handbook of Floating-Point Arithmetic, 2018, pp 321-374 from Springer

Abstract: Abstract The previous chapter has presented the basic paradigms used for implementing floating-point arithmetic in hardware. However, some processors may not have such dedicated hardware, mainly for cost reasons. When it is necessary to handle floating-point numbers on such processors, one solution is to implement floating-point arithmetic in software.

Keywords: Binary Floating-Point; Significand; Sticky Bit; Biased Exponent; Exponent Results (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-76526-6_9

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DOI: 10.1007/978-3-319-76526-6_9

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