e8ca3cbea5
* 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.
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, 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.