Takacs, Philipp 7f1eb4532d add basic mmu tests
Some simple tests for diffrent mmu.
Basicly add some tlb entries, enable the mmu try to read from virtual address

The aarm64 test was provided by imre-kis-arm in #1718
2023-03-28 13:50:11 +02:00
2022-11-01 10:04:59 +01:00
2023-03-22 13:58:10 -05:00
2023-01-28 22:18:39 +01:00
2022-10-12 14:39:10 +08:00
2023-03-28 13:50:11 +02:00
2015-08-21 15:04:50 +08:00
2023-03-23 16:17:55 -03:00
2022-11-22 21:55:02 +01:00
2023-02-04 13:00:58 +08:00
2015-08-21 15:04:50 +08:00
2016-12-27 10:15:08 +08:00
2021-10-17 18:18:09 +08:00
2021-11-07 20:24:50 +01:00
2022-02-12 16:28:43 +01:00
2021-10-03 22:14:44 +08:00
2023-03-23 16:15:33 -03:00
2022-10-31 12:35:37 +08:00
2021-10-06 12:52:52 +02:00
2023-03-20 18:41:59 -07:00

Unicorn Engine

pypi downloads Fuzzing 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, PowerPC, RISCV, SPARC, S390X, TriCore 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, Haskell, Pharo, Lua and Zig.
  • Native support for Windows & *nix (with Mac OSX, Linux, Android, *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 milestones for our regular release.

CREDITS.TXT records important contributors of our project.

Description
No description provided
Readme 16 MiB
Languages
C 87.2%
Java 2.6%
Python 2.1%
Pawn 1.2%
Rust 0.9%
Other 5.9%