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.
Update
5 Sep 2024
Automatic Differentiation in Roofit for Fast and Accurate Likelihood Fits
11 Jul 2024
Update
6 Jun 2024
CppInterOp - v1.4.0
19 Oct 2024
Clad - v1.7
8 Aug 2024
Clad - v1.6
18 Jul 2024
Xeus-Cpp - v0.5
4 Jun 2024
Clad - v1.5
21 May 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
Integrate a Large Language Model with the xeus-cpp Jupyter kernel - Final Report
(Integrate a Large Language Model with the xeus-cpp Jupyter kernel, part of Google Summer of Code 2024, aims to integrate a large langauge model into the xeus kernel for users to interactively generate and execute code.)
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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