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
4 Apr 2024
IDD – A Platform Enabling Differential Debugging
7 Mar 2024
User-Schedulable Languages: Exo and Beyond
1 Feb 2024
Xeus-Cpp - v0.4
4 Apr 2024
CppInterOp - v1.2.0
1 Mar 2024
Clad - v1.4
29 Feb 2024
Clad - v1.3
11 Feb 2024
Xeus-Cpp - v0.3
9 Jan 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
Code Completion in Clang Repl
(Clang-Repl, featuring a REPL(Read-Eval-Print-Loop) environment, allows developers to program in C++ interactively. It is a C++ interpreter built upon the Clang and LLVM incremental compilation pipeline. One of the missing upstream features in Clang-Repl is the ability to propose options for automatically completing user input or code completion. Sometimes, C++ can be quite wordy, requiring users to type every character of an expression or statement. Consequently, this causes typos or syntactic errors.)
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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