mirror of
https://github.com/yuzu-emu/unicorn.git
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a9e087b252
Currently the ld/st_asi helper functions make calls to the ld*_phys() and st*_phys() functions for those ASIs which imply direct accesses to physical addresses. These implicitly rely on the unassigned_access hook to cause them to generate an MMU fault if the access fails. Switch to using the address_space_* functions instead, which return a MemTxResult that we can check. This means that when we switch SPARC over to using the do_transaction_failed hook we'll still get the same MMU faults we did before. This commit converts the ASIs which do "MMU passthrough". Backports commit b9f5fdad49c74583dcf9fcba0805b148e3992e13 from qemu |
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bindings | ||
docs | ||
include | ||
msvc | ||
qemu | ||
samples | ||
tests | ||
.appveyor.yml | ||
.gitignore | ||
.travis.yml | ||
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.