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Overview

Compiler Research. At the heart of our mission is the commitment to foster innovation and excellence at the intersection of compiler research and data science. Our main focus areas include Interpretative C/C++/CUDA, Automatic Differentiation tools, and C++ Language Interoperability with Python.

News

Blog 2 months ago
Enabling Differentiable Rendering via AD of Parallel C++ STL Primitives in Clad
This summer, I am working on enhancing Clad to automatically generate lock-free backward passes for highly parallel differentiable rendering pipelines. This project targets the atomic bottleneck inherent in 3D Gaussian Splatting (3DGS) rasterization.
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Report
Blog 2 months ago
Final report for creating teaching materials with xeus-cpp
A Final report of my project about creating notebooks for CUDA and OpenMP with xeus-cpp
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Report
Blog 2 months ago
Clad as a First-Class Gradient Engine in LibTorch
A GSoC 2026 project exploring whether Clad-generated gradients can become a practical backend for selected LibTorch C++ workloads.
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Report
Blog 2 months ago
Final report for Port C and C++ Course to xeus-cpp
A summary for my project to implement an educational course, explaining C and C++ features in a notebook environment
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Report
Blog 2 months ago
Improving Clang Error Recovery for Interactive Workflows: Early Findings
As part of the CppAlliance Fellowship 2026, this project explores improvements to Clang's error recovery infrastructure for interactive environments such as Clang-Repl, with the goal of providing more reliable recovery and better compiler state consistenc
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