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.
Automatic Differentiation in Roofit for Fast and Accurate Likelihood Fits
11 Jul 2024
Update
6 Jun 2024
Update
4 Apr 2024
Xeus-Cpp - v0.5
4 Jun 2024
Clad - v1.5
21 May 2024
CppInterOp - v1.3.0
9 May 2024
Xeus-Cpp - v0.4
4 Apr 2024
CppInterOp - v1.2.0
1 Mar 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
Optimizing automatic differentiation using activity analysis
(IRIS-HEP project aimed to optimize automatic differentiation using activity analysis)
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 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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