Allow redefinition of CUDA functions in Cling


Cling is an interactive C++ interpreter, built on top of Clang and LLVM compiler infrastructure. Cling realizes the read-eval-print loop (REPL) concept, in order to leverage rapid application development. Implemented as a small extension to LLVM and Clang, the interpreter reuses their strengths such as the praised concise and expressive compiler diagnostics.

Since the development of Cling started, it got some new features to enable new workflows. One of the features is CUDA mode, which allows you to interactively develop and run CUDA code on Nvidia GPUs. Another feature is the redefinition of functions, variable classes and more, bypassing the one-definition rule of C++. This feature enables comfortable rapid prototyping in C++. Currently, the two features cannot be used together because parsing and executing CUDA code behaves differently compared to pure C++.

Task ideas and expected results

The student’s task is to adapt the redefinitions feature of the pure C++ mode for the CUDA mode. To do this, the student must develop solutions to known and unknown problems that parsing and executing CUDA code causes. The student should be prepared to write a progress report and present the results.

Necessary skills

Good knowledge of C++, basic CUDA skills, knowledge of compiler construction, experience with the LLVM library not mandatory but recommended.


Corresponding Project

Participating Organizations