Justin Viiret 8869dee643 rose: simplify long lit table, add bloom filter
Replaces the original long lit hash table (used in streaming mode) with a
smaller, simpler linear probing approach. Adds a bloom filter in front
of it to reduce time spent on false positives.

Sizing of both the hash table and bloom filter are done based on max
load.
2016-10-28 14:52:45 +11:00
2015-10-20 09:13:35 +11:00
2016-08-29 13:51:17 +10:00
2015-10-20 09:13:35 +11:00
2015-10-20 09:13:35 +11:00

Hyperscan

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.

Documentation

Information on building the Hyperscan library and using its API is available in the Developer Reference Guide.

License

Hyperscan is licensed under the BSD License. See the LICENSE file in the project repository.

Versioning

The master branch on Github will always contain the most recent release of Hyperscan. Each version released to master goes through QA and testing before it is released; if you're a user, rather than a developer, this is the version you should be using.

Further development towards the next release takes place on the develop branch.

Get Involved

The official homepage for Hyperscan is at 01.org/hyperscan.

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.

Description
A portable fork of the high-performance regular expression matching library
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