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Optimize memory handling (#1963)
* optimize ram block handling

Save the last element of the ram_list. This allows to
faster find where to add new elements when they are not
bigger then page size.

* save ram_list freed

this keeps the optimization for find_ram_offset() intact after snapshot
restore.

* cow only clear the tlb of affected pages

* update flatview when possible

Building each flatview new when the memory has changed is quite
expensive when many MemoryRegions are used. This is an issue when using
snapshots.

* update benchmark for new api

* save flatview in context

this avoids rebuilding the flatview when restore a context.

* init context flatview with zero

* address_space_dispatch_clear remove subpage with higher priority

* docutemnt the options for UC_CTL_CONTEXT_MODE

Specialy stress that with UC_CTL_CONTEXT_MEMORY it is not possible to
use the context with a different unicorn object.
2024-10-16 21:51:13 +08:00
.github/workflows Fix arm64 wheel 2024-09-26 18:38:23 +08:00
bindings Also include cmake directory in sdist 2024-10-13 16:34:25 +08:00
cmake Zig binding 2023-08-04 11:24:00 -03:00
docs Update logging 2024-09-22 00:14:03 +08:00
glib_compat Fix memory leak of g_array_free 2024-10-13 13:39:57 +08:00
include Optimize memory handling (#1963) 2024-10-16 21:51:13 +08:00
msvc Reformat code with format.sh 2023-06-16 15:23:41 -07:00
qemu Optimize memory handling (#1963) 2024-10-16 21:51:13 +08:00
samples Format 2024-02-12 00:10:58 +08:00
tests Optimize memory handling (#1963) 2024-10-16 21:51:13 +08:00
.clang-format Add clang-format and format code to qemu code style 2021-10-29 12:44:49 +02:00
.gitignore Add .gdb_history 2024-10-02 16:03:58 +08:00
.gitmodules Change git url to https url to avoid git submodule clone error 2022-01-18 21:09:01 +01:00
AUTHORS.TXT import 2015-08-21 15:04:50 +08:00
build.zig Update zig bindings to 0.13.0 2024-08-08 10:15:50 +02:00
build.zig.zon Tag and release 2.1.1 2024-09-26 18:44:51 +08:00
Cargo.toml Tag and release 2.1.1 2024-09-26 18:44:51 +08:00
ChangeLog Tag and release 2.1.1 2024-09-26 18:44:51 +08:00
CMakeLists.txt Tag and release 2.1.1 2024-09-26 18:44:51 +08:00
COPYING import 2015-08-21 15:04:50 +08:00
COPYING_GLIB glib_compat: add COPYING_GLIB 2016-12-27 10:15:08 +08:00
COPYING.LGPL2 LGPL2 for all header files under include/unicorn/ 2017-12-16 10:08:42 +08:00
CREDITS.TXT Update CREDITS.TXT 2023-07-11 11:51:44 +02:00
format.sh Format unicorn_arm and unicorn_aarch64 2021-11-01 10:17:58 +01:00
go.mod add rpath and go.mod 2021-11-07 20:24:50 +01:00
list.c Fix possible leak in hooks 2022-02-12 16:28:43 +01:00
README.md Update README to reflect dev branch 2024-09-21 23:02:38 +08:00
SECURITY.md Update SECURITY.md 2022-10-31 12:35:37 +08:00
symbols.sh Optimize memory handling (#1963) 2024-10-16 21:51:13 +08:00
TODO Update TODO 2021-10-06 12:52:52 +02:00
uc.c Optimize memory handling (#1963) 2024-10-16 21:51:13 +08:00

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.

Please send pull request to our dev branch.

CREDITS.TXT records important contributors of our project.