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.
Differentiating RooFit likelihoods with Clad
5 Jun 2025
Accelerating simulation-based inference in RooFit at LHCb with Clad
15 May 2025
2024 Compiler-Research Project Overview
12 Dec 2024
Clad - v1.10
26 Apr 2025
CppInterOp - v1.6.0
28 Feb 2025
Clad - v1.9
10 Feb 2025
CppInterOp - v1.5.0
25 Dec 2024
Clad - v1.8
17 Dec 2024
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
Enable Automatic Differentiation of OpenMP Programs with Clad
(This project introduces OpenMP support to Clad, enabling automatic differentiation of multi-threaded C++ programs.)
We are part of 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.
© 2019 Princeton University. Site made with Jekyll; Credit to Allan lab for this site template.
