Hyperscan is a high-performance multiple regex matching library. It follows the regular expression syntax of the commonly-used libpcre library, but is a standalone library with its own C API.
Hyperscan uses hybrid automata techniques to allow simultaneous matching of large numbers (up to tens of thousands) of regular expressions and for the matching of regular expressions across streams of data.
Hyperscan is typically used in a DPI library stack.
Information on building the Hyperscan library and using its API is available in the Developer Reference Guide.
Hyperscan is licensed under the BSD License. See the LICENSE file in the project repository.
The master branch on Github/kunpengcompute will always contain the most recent
release of Intel Hyperscan.
The aarch64 branch on Github/kunpengcompute will always contain the most recent
release that supports the use of aarch64 architecture. The aarch64 branch was developed
based on Intel hyperscan 5.2.1. Each version released to aarch64 branch goes through
QA and testing before it is released; if you're a user of aarch64, rather than a developer,
this is the version you should be using.
Add x86 and aarch64 platform judgment branches to the code of aarch64 branch. According to the judgment results, choose to perform different operations, including compilation options, detecting specific header files, simd instruction judgment, and so on.
Through the use of NEON instructions, inline assembly, data alignment, instruction alignment, memory data prefetching, static branch prediction, code structure optimization, etc., to achieve performance improvements on the Kunpeng platform.
The official homepage for Hyperscan is at www.hyperscan.io.
master branch
If you have questions or comments, we encourage you to join the mailing list. Bugs can be filed by sending email to the list, or by creating an issue on Github.
If you wish to contact the Hyperscan team at Intel directly, without posting publicly to the mailing list, send email to hyperscan@intel.com.
aarch64 branch
If you have questions or comments, we encourage you to create an issue on Github.
If you wish to contact the huawei team directly, you can send email to kunpengcompute@huawei.com.