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. We aim to catalyze transformative advancements in scientific computing, fostering a community that thrives on shared knowledge and innovation.
Interpreting C++ in the web through Jupyter
7 Aug 2025
Differentiating RooFit likelihoods with Clad
5 Jun 2025
Accelerating simulation-based inference in RooFit at LHCb with Clad
15 May 2025
Clad - v2.3
19 Apr 2026
CppInterOp - v1.9.0
26 Mar 2026
Cling - v1.3
11 Feb 2026
CppInterOp - v1.8.0
28 Jan 2026
Clad - v2.2
2 Nov 2025
BLOG
More Than Just Code: Announcing the CppAlliance Fellowship
25 Mar 2026
BLOG
High School Internship Program 2026
27 Feb 2026
Google Season of Docs 2023 Concluded Successfully
31 Dec 2023
Try xeus-clang-repl in docker
27 Sep 2023
Welcome to QuillPusher who has joined for Google Season of Docs
9 May 2023
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.)
We are partially funded by the
Princeton Department of Physics
and
Princeton Institute for Computational Science and Engineering
(PICSciE).
Contact: David Lange; Vassil Vassilev
This project is supported by the National Science Foundation under Grant OAC-1931408 (2020-2023) and OAC-2311471(2023-2026). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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