mirror of
https://github.com/yuzu-emu/unicorn.git
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b82e711a65
This will either create a new AS or return a pointer to an already existing equivalent one, if we have already created an AS for the specified root memory region. The motivation is to reuse address spaces as much as possible. It's going to be quite common that bus masters out in device land have pointers to the same memory region for their mastering yet each will need to create its own address space. Let the memory API implement sharing for them. Aside from the perf optimisations, this should reduce the amount of redundant output on info mtree as well. Thee returned value will be malloced, but the malloc will be automatically freed when the AS runs out of refs. Backports commit f0c02d15b57da6f5463e3768aa0cfeedccf4b8f4 from qemu |
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msvc | ||
qemu | ||
samples | ||
tests | ||
.appveyor.yml | ||
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AUTHORS.TXT | ||
Brewfile | ||
ChangeLog | ||
config.mk | ||
COPYING | ||
COPYING.LGPL2 | ||
COPYING_GLIB | ||
CREDITS.TXT | ||
install-cmocka-linux.sh | ||
list.c | ||
make.sh | ||
Makefile | ||
msvc.bat | ||
pkgconfig.mk | ||
README.md | ||
uc.c | ||
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.