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Langdale, Geoff et Lemire, Daniel (2019). Parsing Gigabytes of JSON per Second. VLDB Journal, 28 (6). https://doi.org/10.1007/s00778-019-00578-5
Fichier(s) associé(s) à ce document :![[img]](https://r-libre.teluq.ca/style/images/fileicons/pdf.png)
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Contenu du fichier : Manuscrit soumis (avant évaluation) 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 : | Publié |
| Résumé : | JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web. Ingesting JSON documents can become a performance bottleneck due to the sheer volume of data. We are thus motivated to make JSON parsing as fast as possible. Despite the maturity of the problem of JSON parsing, we show that substantial speedups are possible. We present the first standard-compliant JSON parser to process gigabytes of data per second on a single core, using commodity processors. We can use a quarter or fewer instructions than a state-of-the-art reference parser like RapidJSON. Unlike other validating parsers, our software (simdjson) makes extensive use of Single Instruction, Multiple Data (SIMD) instructions. To ensure reproducibility, simdjson is freely available as open-source software under a liberal license. |
| Déposant: | Lemire, Daniel |
| Responsable : | Daniel Lemire |
| Dépôt : | 28 août 2019 14:03 |
| Dernière modification : | 15 nov. 2019 17:11 |
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