Compiler Research

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.

Open Projects

- ROOT Superbuilds

- Improving performance of BioDynaMo using ROOT C++ Modules

- Using ROOT in the field of genome sequencing

- Implement Differentiating of the Kokkos Framework

... see details

Project Meetings

2024-04-04
Update

2024-03-07
IDD – A Platform Enabling Differential Debugging

2024-02-01
User-Schedulable Languages: Exo and Beyond

... see details

Software Releases

2024-04-04
Xeus-Cpp - v0.4

2024-03-01
CppInterOp - v1.2.0

2024-02-29
Clad - v1.4

2024-02-11
Clad - v1.3

2024-01-09
Xeus-Cpp - v0.3

... see details

News

2023-12-31
Google Season of Docs 2023 Concluded Successfully

2023-09-27
Try xeus-clang-repl in docker

2023-05-09
Welcome to QuillPusher who has joined for Google Season of Docs

... see details

Recent Content

https://youtu.be/be89sF0WLrc

C++ as a service - rapid software development and dynamic interoperability with python and beyond

https://youtu.be/jc5oj8ooG7s

Multiline input and Windows support in clang-repl

https://youtu.be/3PWeLGrF41g

Finding the Higgs on RISC-V

https://youtu.be/_5_gm58sQIg

JITLink: Native Windows JITing in LLVM

https://youtu.be/l7KXd76ymVk

jank: A Clojure dialect on LLVM with gradual typing, a native runtime, and C++ interop

https://youtu.be/gKNxTeDBczk

ez-clang: experimental C++ REPL for bare metal

https://youtu.be/stMD7VDWlVU

Cppyy

https://youtu.be/bJiwjKIWgjM

A brief history of Cxx.jl

https://youtu.be/wberEoq-m38

GPU Acceleration of Automatic Differentiation in C++ with Clad

https://youtu.be/kx3wvKk4Qss

Deep dive into the Xeus-based Cling kernel for Jupyter

https://youtu.be/HEGDII5lAfo

Cling’s CUDA Backend: Interactive GPU development with CUDA C++

https://youtu.be/7teqrCNzrD8

Calling C++ libraries from a D-written DSL: A cling/cppyy-based approach

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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