Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, X86)
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Emilio G. Cota 7071a144c2
target/sparc: convert to DisasContextBase
Notes:

- pc and npc are left unmodified, since they can point to out-of-TB
jump targets.

- Got rid of last_pc in gen_intermediate_code(), using base.pc_next
instead. Only update pc_next (1) on a breakpoint (so that tb->size
includes the insn), and (2) after reading the current instruction
from memory. This allows us to use base.pc_next in the BP check,
which is what the translator loop does.

Backports commit af00be490b30d7f576d12ac7b2bc5406ca6fda3f from qemu
2018-05-11 14:20:49 -04:00
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include cpu: Convert cpu_index into a bitmap 2018-03-21 08:06:07 -04:00
msvc tcg: move tcg backend files into accel/tcg/ 2018-03-13 11:48:15 -04:00
qemu target/sparc: convert to DisasContextBase 2018-05-11 14:20:49 -04:00
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.gitignore qapi: Move qapi-schema.json to qapi/, rename generated files 2018-03-09 11:35:11 -05:00
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uc.c exec: Drop unnecessary code for unicorn 2018-03-12 10:11:46 -04:00
windows_export.bat

Unicorn Engine

Join the chat at https://gitter.im/unicorn-engine/chat

Build Status Build status

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.