65 lines
2.4 KiB
Markdown
65 lines
2.4 KiB
Markdown
libcpuid
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========
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libcpuid provides CPU identification for the x86 (and x86_64).
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For details about the programming API, you might want to
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take a look at the project's website on sourceforge
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(http://libcpuid.sourceforge.net/). There you'd find a short
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[tutorial](http://libcpuid.sf.net/documentation.html), as well
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as the full [API reference](http://libcpuid.sf.net/doxy).
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Configuring after checkout
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--------------------------
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Under linux, where you download the sources, there's no
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configure script to run. This is because it isn't a good practice to keep
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such scripts in a source control system. To create it, you need to run the
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following commands once, after you checkout the libcpuid sources
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from github:
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1. run "libtoolize"
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2. run "autoreconf --install"
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You need to have `autoconf`, `automake` and `libtool` installed.
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After that you can run `./configure` and `make` - this will build
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the library.
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`make dist` will create a tarball (with "configure" inside) with the
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sources.
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Testing
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-------
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After any change to the detection routines or match tables, it's always
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a good idea to run `make test`. If some test fails, and you're confident
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that the test is wrong and needs fixing, run `make fix-tests`.
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You can also add a new test (which is basically a file containing
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the raw CPUID data and the expected decoded items) by using
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`tests/create_test.py`. The workflow there is as follows:
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1. Run "cpuid_tool" with no arguments. It will tell you that it
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has written a pair of files, raw.txt and report.txt. Ensure
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that report.txt contains meaningful data.
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2. Run "tests/create_test.py raw.txt report.txt > «my-cpu».test"
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3. Use a proper descriptive name for the test (look into tests/amd
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and tests/intel to get an idea) and copy your test file to an
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appropriate place within the tests directory hierarchy.
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For non-developers, who still want to contribute tests for the project,
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use [this page](http://libcpuid.sourceforge.net/bugreport.php) to report
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misdetections or new CPUs that libcpuid doesn't handle well yet.
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Users
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-----
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So far, I'm aware of the following projects which utilize libcpuid:
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* CPU-X (https://github.com/X0rg/CPU-X)
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* fre:ac (https://www.freac.org/)
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* ucbench (http://anrieff.net/ucbench)
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* Multiprecision Computing Toolbox for MATLAB (https://www.advanpix.com/)
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We'd love to hear from you if you are also using libcpuid and want your project listed above.
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