Sahil Patidar

Google Summer of Code 2024 Contributor

email: sahilpatidar60@gmail.com

Education: Computer Science and Engineering, Vindhya Institute of Technology, India

Ongoing project: Advanced symbol resolution and reoptimization for clang-repl
This project aims to enhance Clang-Repl, an interactive C++ interpreter built on top of LLVM’s ORC JIT infrastructure. Currently, Clang-Repl lacks a mechanism to automatically load dynamic libraries when encountering unresolved symbols. As a result, users must manually load the appropriate libraries if a symbol used in their code resides in a specific dynamic library. To address this limitation, we propose a solution that enables automatic library loading for unresolved symbols. Additionally, the second goal of this project is to introduce support for re-optimization within Clang-Repl, allowing code to benefit from improved performance through dynamic optimization techniques.

Project Proposal: URL

Mentors: Vassil Vassilev

Completed project: Out-Of-Process execution for Clang-Repl
This project focuses on enhancing Clang-Repl, an interactive C++ interpreter that leverages LLVM’s JIT infrastructure. The current in-process execution model poses challenges, especially for resource-constrained devices and stability. By transitioning Clang-Repl to an out-of-process execution model, this project aims to address these limitations. It will improve resource efficiency, making Clang-Repl usable on devices with limited resources, and enhance crash resilience, preventing user code failures from crashing the entire interpreter. This shift will foster a more robust and accessible interactive C++ compilation and execution environment.

Project Proposal: URL

Mentors: Vassil Vassilev, Matheus Izvekov

Presentations

---

---