Sahil Patidar

Google Summer of Code 2024 Contributor

email: sahilpatidar60[at]gmail[dot]com

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

Ongoing project: Consistent Error Recovery Infrastructure
This project aims to improve Clang’s error recovery infrastructure for interactive compilation environments such as Clang-Repl. While Clang provides robust error recovery for normal compilation, its current design is primarily built around a single compilation flow and does not always behave consistently in incremental compilation scenarios. The goal is to ensure that failed inputs do not improperly affect future semantic analysis while preserving Clang’s existing behavior and assumptions.

Project Proposal: URL

Mentors: Vassil Vassilev, Aaron Jomy

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

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