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README.md
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README.md
@ -16,20 +16,54 @@ Pull Requests were made to the project for this reason. Unfortunately, the
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PRs were rejected for now and the forseeable future, thus we have created Vectorscan for
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our own multi-architectural and opensource collaborative needs.
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The recent license change of Hyperscan makes Vectorscan even more needed.
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The recent license change of Hyperscan makes Vectorscan even more relevant for the FLOSS ecosystem.
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# What is Hyperscan?
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# What is Vectorscan/Hyperscan/?
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Hyperscan is a high-performance multiple regex matching library. It follows the
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Hyperscan and by extension Vectorscan is a high-performance multiple regex matching library. It follows the
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regular expression syntax of the commonly-used libpcre library, but is a
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standalone library with its own C API.
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Hyperscan uses hybrid automata techniques to allow simultaneous matching of
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Hyperscan/Vectorscan uses hybrid automata techniques to allow simultaneous matching of
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large numbers (up to tens of thousands) of regular expressions and for the
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matching of regular expressions across streams of data.
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Vectorscan is typically used in a DPI library stack, just like Hyperscan.
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# License
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Vectorscan follows a BSD License like the original Hyperscan (up to 5.4).
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Vectorscan continues to be an open source project and we are committed to keep it that way.
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See the LICENSE file in the project repository.
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## Hyperscan License Change after 5.4
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According to
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[Accelerate Snort Performance with Hyperscan and Intel Xeon Processors on Public Clouds](https://networkbuilders.intel.com/docs/networkbuilders/accelerate-snort-performance-with-hyperscan-and-intel-xeon-processors-on-public-clouds-1680176363.pdf) versions of Hyperscan later than 5.4 are
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going to be closed-source:
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> The latest open-source version (BSD-3 license) of Hyperscan on Github is 5.4. Intel conducts continuous internal
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> development and delivers new Hyperscan releases under Intel Proprietary License (IPL) beginning from 5.5 for interested
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> customers. Please contact authors to learn more about getting new Hyperscan releases.
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# Versioning
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The `master` branch on Github will always contain the most recent stable release of
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Hyperscan. Each version released to `master` goes through QA and testing before
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it is released; if you're a user, rather than a developer, this is the version
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you should be using.
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Further development towards the next release takes place on the `develop`
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branch. All PRs are first made against the develop branch and if the pass the [Vectorscan CI](https://buildbot-ci.vectorcamp.gr/#/grid), then they get merged. Similarly with PRs from develop to master.
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# Compatibility with Hyperscan
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Vectorscan aims to be ABI and API compatible with the last open source version of Intel Hyperscan 5.4.
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After careful consideration we decided that we will **NOT** aim to achieving compatibility with later Hyperscan versions 5.5/5.6 that have extended Hyperscan's API.
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If keeping up to date with latest API of Hyperscan, you should talk to Intel and get a license to use that.
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However, we intend to extend Vectorscan's API with user requested changes or API extensions and improvements that we think are best for the project.
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# Installation
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## Debian/Ubuntu
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@ -46,19 +80,8 @@ Or to install the devel package you can install `libvectorscan-dev` package:
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$ sudo apt install libvectorscan-dev
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```
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## Fedora
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For other distributions/OSes please check the [Wiki](https://github.com/VectorCamp/vectorscan/wiki/Installation-from-package)
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TBD
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## Suse
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TBD
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## Alpine
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TBD
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## Other
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# Build Instructions
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@ -90,70 +113,34 @@ $ cmake ../
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Common options for Cmake are:
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* `-DBUILD_STATIC_LIBS=On/Off` Build static libraries
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* `-DBUILD_SHARED_LIBS=On/Off` Build shared libraries
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* `-DCMAKE_BUILD_TYPE=[Release|Debug|RelWithDebInfo|MinSizeRel]` Configure build type and determine optimizations and certain features, for examples, Fat runtimes are not compatible with Debug mode at the moment.
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* `-DBUILD_STATIC_LIBS=[On|Off]` Build static libraries
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* `-DBUILD_SHARED_LIBS=[On|Off]` Build shared libraries (if none are set static libraries are built by default)
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* `-DCMAKE_BUILD_TYPE=[Release|Debug|RelWithDebInfo|MinSizeRel]` Configure build type and determine optimizations and certain features.
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* `-DUSE_CPU_NATIVE=[On|Off]` Native CPU detection is off by default, however it is possible to build a performance-oriented non-fat library tuned to your CPU
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* `-DFAT_RUNTIME=[On|Off]` Fat Runtime is only available for X86 32-bit/64-bit and AArch64 architectures and only on Linux. It is incompatible with `Debug` type and `USE_CPU_NATIVE`.
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And then you can run `make` in the same directory, if you have a multi-core system with `N` cores, running
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### Specific options for X86 32-bit/64-bit (Intel/AMD) CPUs
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* `-DBUILD_AVX2=[On|Off]` Enable code for AVX2.
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* `-DBUILD_AVX512=[On|Off]` Enable code for AVX512. Implies `BUILD_AVX2`.
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* `-DBUILD_AVX512VBMI=[On|Off]` Enable code for AVX512 with VBMI extension. Implies `BUILD_AVX512`.
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### Specific options for Arm 64-bit CPUs
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* `-DBUILD_SVE=[On|Off]` Enable code for SVE, like on AWS Graviton3 CPUs. Not much code is ported just for SVE , but enabling SVE code production, does improve code generation, see [Benchmarks](https://github.com/VectorCamp/vectorscan/wiki/Benchmarks).
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* `-DBUILD_SVE2=[On|Off]` Enable code for SVE2, implies `BUILD_SVE`. Most non-Neon code is written for SVE2
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* `-DBUILD_SVE2_BITPERM=[On|Off]` Enable code for SVE2_BITPERM harwdare feature, implies `BUILD_SVE2`.
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## Build
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If `cmake` has completed successfully you can run `make` in the same directory, if you have a multi-core system with `N` cores, running
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```
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$ make -j <N>
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```
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will speed up the process. If all goes well, you should have the vectorscan library
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will speed up the process. If all goes well, you should have the vectorscan library compiled.
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## Native CPU detection
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Native CPU detection is off by default, however it is possible to build a performance-oriented non-fat library tuned to your CPU, as detected by the compiler:
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```
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$ cmake ../
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```
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## Instructions for Intel/AMD CPUs
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## Instructions for Arm 64-bit CPUs
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## Instructions for Power8/Power9/Power10 CPUs
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## Fat Runtime (Intel/AMD 64-bit & Arm 64-bit Only)
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# License
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Vectorscan follows a BSD License like the original Hyperscan (up to 5.4).
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Vectorscan continues to be an open source project and we are committed to keep it that way.
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See the LICENSE file in the project repository.
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## Hyperscan License Change after 5.4
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According to
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[Accelerate Snort Performance with Hyperscan and Intel Xeon Processors on Public Clouds](https://networkbuilders.intel.com/docs/networkbuilders/accelerate-snort-performance-with-hyperscan-and-intel-xeon-processors-on-public-clouds-1680176363.pdf) versions of Hyperscan later than 5.4 are
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going to be closed-source:
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> The latest open-source version (BSD-3 license) of Hyperscan on Github is 5.4. Intel conducts continuous internal
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> development and delivers new Hyperscan releases under Intel Proprietary License (IPL) beginning from 5.5 for interested
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> customers. Please contact authors to learn more about getting new Hyperscan releases.
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# Versioning
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The `master` branch on Github will always contain the most recent stable release of
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Hyperscan. Each version released to `master` goes through QA and testing before
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it is released; if you're a user, rather than a developer, this is the version
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you should be using.
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Further development towards the next release takes place on the `develop`
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branch. All PRs are first made against the develop branch and if the pass the [Vectorscan CI](https://buildbot-ci.vectorcamp.gr/#/grid), then they get merged. Similarly with PRs from develop to master.
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# Compatibility with Hyperscan
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Vectorscan aims to be ABI and API compatible with the last open source version of Intel Hyperscan 5.4.
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After careful consideration we decided that we will **NOT** aim to achieving compatibility with later Hyperscan versions 5.5/5.6 that have extended Hyperscan's API.
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If keeping up to date with latest API of Hyperscan, you should talk to Intel and get a license to use that.
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However, we intend to extend Vectorscan's API with user requested changes or API extensions and improvements that we think are best for the project.
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# Contributions
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