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
Activity analysis for reverse-mode differentiation of (CUDA) GPU kernels
(A GSoC 2025 contributor project aiming to implement Activity Analysis for (CUDA) GPU kernels)
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.
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