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Using Hyperscan to boost regular expression performance

halfdan · published 12 June 2021

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https://www.pcre.org/?ref=geekmonkey.org

pcre.org

https://github.com/google/re2/?ref=geekmonkey.org

github.com

https://github.com/facebook/pyre2?ref=geekmonkey.org

github.com

https://www.hyperscan.io/?ref=geekmonkey.org

hyperscan.io

https://github.blog/2018-10-17-behind-the-scenes-of-github-token-scanning/?ref=geekmonkey.org

github.blog

https://www.kaggle.com/shawon10/web-log-dataset?ref=geekmonkey.org

kaggle.com

https://github.com/google/re2?ref=geekmonkey.org

github.com

https://01.org/hyperscan/blogs/jpviiret/2017/regex-set-scanning-hyperscan-and-re2set?ref=geekmonkey.org

01.org

https://intel.github.io/hyperscan/dev-reference/api_constants.html?ref=geekmonkey.org

intel.github.io

https://pytest-benchmark.readthedocs.io/en/latest/?ref=geekmonkey.org

pytest-benchmark.readthedocs.io

https://github.com/intel/hyperscan?ref=geekmonkey.org

github.com

https://www.usenix.org/conference/nsdi19/presentation/wang-xiang?ref=geekmonkey.org

usenix.org

Paper: Hyperscan: A Fast Multi-pattern Regex Matcher for Modern CPUs Read at the source ↗

https://21.changelog.com/news/regular-expression-matching-at-scale-with-hyperscan-1OJP?ref=geekmonkey.org

21.changelog.com