Description of the project: The Clang compiler is part of the LLVM compiler infrastructure and supports various languages such as C, C++, ObjC and ObjC++. The design of LLVM and Clang enables them to be used as libraries, and has led to the creation of an entire compiler-assisted ecosystem of tools. The relatively friendly codebase of Clang and advancements in the JIT infrastructure in LLVM further enable research into different methods for processing C++ by blurring the boundary between compile time and runtime. Challenges include incremental compilation and fitting compile/link time optimizations into a more dynamic environment. Incremental compilation pipelines process code chunk-by-chunk by building an ever-growing translation unit. Code is then lowered into the LLVM IR and subsequently run by the LLVM JIT. Such a pipeline allows creation of efficient interpreters. The interpreter enables interactive exploration and makes the C++ language more user friendly. Clang-Repl is one example.
Expected result: The project aims to develop a robust mechanism for resolving missing symbols by dynamically identifying and loading the appropriate shared objects or static archives. Additionally, it will explore use cases where adapting symbols based on execution profiles leads to measurable performance improvements, optimizing the efficiency of just-in-time compilation and dynamic execution environments.
Skills: Intermediate knowledge of C++, Understanding of LLVM and the LLVM JIT in particular
Project size:Either medium or large.
Difficulty: Medium
Confirmed Mentor: Vassil Vassilev
