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Currently CPUClass->parse_features() is used to parse -cpu features string and set properties on created CPU instances. But considering that features specified by -cpu apply to every created CPU instance, it doesn't make sense to parse the same features string for every CPU created. It also makes every target that cares about parsing features string explicitly call CPUClass->parse_features() parser, which gets in a way if we consider using generic device_add for CPU hotplug as device_add has not a clue about CPU specific hooks. Turns out we can use global properties mechanism to set properties on every created CPU instance for a given type. That way it's possible to convert CPU features into a set of global properties for CPU type specified by -cpu cpu_model and common Device.device_post_init() will apply them to CPU of given type automatically regardless whether it's manually created CPU or CPU created with help of device_add. Backports commits 62a48a2a5798425997152dea3fc48708f9116c04 and f313369fdb78f849ecbbd8e5d88f01ddf38786c8 from qemu |
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windows_export.bat |
Unicorn Engine
Unicorn is a lightweight, multi-platform, multi-architecture CPU emulator framework based on QEMU.
Unicorn offers some unparalleled features:
- Multi-architecture: ARM, ARM64 (ARMv8), M68K, MIPS, SPARC, and X86 (16, 32, 64-bit)
- Clean/simple/lightweight/intuitive architecture-neutral API
- Implemented in pure C language, with bindings for Crystal, Clojure, Visual Basic, Perl, Rust, Ruby, Python, Java, .NET, Go, Delphi/Free Pascal and Haskell.
- Native support for Windows & *nix (with Mac OSX, Linux, *BSD & Solaris confirmed)
- High performance via Just-In-Time compilation
- Support for fine-grained instrumentation at various levels
- Thread-safety by design
- Distributed under free software license GPLv2
Further information is available at http://www.unicorn-engine.org
License
This project is released under the GPL license.
Compilation & Docs
See docs/COMPILE.md file for how to compile and install Unicorn.
More documentation is available in docs/README.md.
Contact
Contact us via mailing list, email or twitter for any questions.
Contribute
If you want to contribute, please pick up something from our Github issues.
We also maintain a list of more challenged problems in a TODO list.
CREDITS.TXT records important contributors of our project.