ganler / runzhong_machine_compiler

Implementation of a compiler for C-like language. Fast backend(CXX17) and beautiful GUI(React).

RunzhongMachineCompiler

Runzhong Machine, the DEEP DARK OLD MAGIC inspired from my old friend Runzhong Li.

Author Info

• Jiawei Liu@ganler
  • Project Manager;
  • CXX backend;
  • Algorithm(Both in compiler design and performance optimization);
• Junyao Li@taltalite
  • React Frontend;
• Zizheng Zhong@zzznb
  • Algorithm.

Key Feather

• High-quality Modern C++ Code.
  • I made heavy use of generic programming technics. You can easily use user-defined container and string if you like.
  • I made heavy use of std::string_view to avoid any kinds of unnecessary evil string copies(Well, that's why it has better performance).
  • Zero-Dependency(C++): All C++ codes use STL only, including multi-threading. (Well, I am a modern C++ programmer who care everything about performance and beautiful code😎)
• Beautiful GUI(As you can see below).
• Fork&Join based lexcial analysis(To make the lexcial analysis procedure faster🚀)

Demo

Lexcial GUI

Syntax GUI

Build CXX

As I am a modern C++ programmer, you may need to upgrade your compiler to support C++17.

std::string_view will boost the performance of your application!

Build React

Make sure that node.js is installed on your computer.

mv parse_tree ../parse_tree
mv lexcial ../lexcial

npx create-react-app parse_tree # long time to install react components
npx create-react-app lexcial

cp -r ../parse_tree/ parse_tree/
cp -r ../lexcial/ lexcial/

cd lexcial
npm install typescript
unset HOST
npm start # then you gonna see them.

cd ../parse_tree
npm install d3
npm install antd
unset HOST
npm start # then you gonna see a parse-tree. Wonderful!

Lexcial & Syntax Analysis

Brief Intro to Our Design

Note that our procedure of lexcial analysis is parallelized(I used the fork&join model to analyze each line. But of course, you need to deal with multi-line comment issue first(give it a single pass!)).

TODO

• Upload our report(More tech details)