Since Hyperscan is a performance-oriented regular expression engine, we are often asked for comparisons against other regular expression libraries on a variety of different metrics. This post is a walkthrough of an experiment to compare Hyperscan’s performance against that of Google’s RE2 library when scanning for sets of patterns, as is done in many network security systems.
We are pleased to announce that Hyperscan 4.5.1 has been pushed to Github. For more details, please refer to the change log on GitHub or the Hyperscan Developer Reference Guide.
We are pleased to announce that Hyperscan 4.5 has been pushed to Github. In addition to two new features – approximate matching, and support for Intel® AVX-512 instructions – there has been a significant improvement to pattern compilation times in this release, which leads to reduced compile times for many large pattern sets.
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