[2109.10433] Transcoding Billions of Unicode Characters per Second with SIMD Instructions

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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2109.10433 (cs)

[Submitted on 21 Sep 2021 (v1), last revised 14 Nov 2022 (this version, v3)]

Title:Transcoding Billions of Unicode Characters per Second with SIMD Instructions

Authors:Daniel Lemire, Wojciech Muła<br>View a PDF of the paper titled Transcoding Billions of Unicode Characters per Second with SIMD Instructions, by Daniel Lemire and Wojciech Mu{\l}a

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Abstract:In software, text is often represented using Unicode formats (UTF-8 and UTF-16). We frequently have to convert text from one format to the other, a process called transcoding. Popular transcoding functions are slower than state-of-the-art disks and networks. These transcoding functions make little use of the single-instruction-multiple-data (SIMD) instructions available on commodity processors. By designing transcoding algorithms for SIMD instructions, we multiply the speed of transcoding on current systems (x64 and ARM). To ensure reproducibility, we make our software freely available as an open source library.

Comments:<br>Software: this https URL

Subjects:

Distributed, Parallel, and Cluster Computing (cs.DC); Data Structures and Algorithms (cs.DS)

Cite as:<br>arXiv:2109.10433 [cs.DC]

(or<br>arXiv:2109.10433v3 [cs.DC] for this version)

https://doi.org/10.48550/arXiv.2109.10433

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arXiv-issued DOI via DataCite

Journal reference:<br>Software: Practice and Experience, Volume 52, Issue 2 February 2022 Pages 555-575

Related DOI:

https://doi.org/10.1002/spe.3036

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Submission history<br>From: Daniel Lemire [view email]<br>[v1]<br>Tue, 21 Sep 2021 20:54:24 UTC (2,086 KB)

[v2]<br>Sat, 25 Sep 2021 01:58:08 UTC (2,086 KB)

[v3]<br>Mon, 14 Nov 2022 17:17:36 UTC (2,087 KB)

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