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Champagne Gareau, Jaël et Lemire, Daniel (sous presse). Converting binary floating-point numbers to shortest decimal strings: An experimental review. Software: Practice and Experience.
Fichier(s) associé(s) à ce document :|
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- floatserialize.pdf
Contenu du fichier : Version finale (non publiée) Licence : Creative Commons CC BY. |
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| Catégorie de document : | Articles de revues |
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| Évaluation par un comité de lecture : | Oui |
| Étape de publication : | Accepté (sous presse) |
| Résumé : | When sharing or logging numerical data, we must convert binary floating-point numbers into their decimal string representations. For example, the number π might become 3.1415927. Engineers have perfected many algorithms for producing such accurate, short strings. We present an empirical comparison across diverse hardware architectures and datasets. Cutting-edge techniques like Schubfach and Dragonbox achieve up to a tenfold speedup over Steele and White's Dragon4, executing as few as 210 instructions per conversion compared to Dragon4's 1500-5000 instructions. Often per their specification, none of the implementations we surveyed consistently produced the shortest possible strings-some generate outputs up to 30% longer than optimal. We find that standard library implementations in languages such as C++ and Swift execute significantly more instructions than the fastest methods, with performance gaps varying across CPU architectures and compilers. We suggest some optimization targets for future research. |
| Déposant: | Lemire, Daniel |
| Responsable : | Daniel Lemire |
| Dépôt : | 16 janv. 2026 15:42 |
| Dernière modification : | 16 janv. 2026 15:42 |
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