Faster Base64 Encoding and Decoding Using AVX2 Instructions

Autor:	Muła, Wojciech, Lemire, Daniel
Rok vydání:	2017
Předmět:	Computer Science - Mathematical Software Computer Science - Performance
Zdroj:	ACM Transactions on the Web 12 (3), 2018
Druh dokumentu:	Working Paper
DOI:	10.1145/3132709
Popis:	Web developers use base64 formats to include images, fonts, sounds and other resources directly inside HTML, JavaScript, JSON and XML files. We estimate that billions of base64 messages are decoded every day. We are motivated to improve the efficiency of base64 encoding and decoding. Compared to state-of-the-art implementations, we multiply the speeds of both the encoding (~10x) and the decoding (~7x). We achieve these good results by using the single-instruction-multiple-data (SIMD) instructions available on recent Intel processors (AVX2). Our accelerated software abides by the specification and reports errors when encountering characters outside of the base64 set. It is available online as free software under a liberal license. Comment: software at https://github.com/lemire/fastbase64
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1704.00605 Zobrazit plný text záznamu View this record from Arxiv