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
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.)
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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