9. Literature¶
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Javier Lopez Gomez et al. 29th International Conference on Compiler Construction 2020 |
This paper discusses how Cling enables redefinitions of C++ entities at the prompt, and the implications of interpreting C++ and the One Definition Rule (ODR) in C++ |
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V Vasilev et al 2012 J. Phys.: Conf. Ser. 396 052071 |
This paper describes the link between Cling and ROOT. The concepts of REPL and JIT compilation. Cling’s methods for handling errors, expression evaluation, streaming out of execution results, runtime dynamism. |
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V Vasilev, CERN PH-SFT, 2013 |
Vassil Vasilev (Princeton University) explains how Cling enables interactivity in C++, and illustrates the type introspection mechanism provided by the interpreter. |
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Axel Naumann 2012 Googletechtalks |
Axel Naumann (CERN) discusses Cling’s most relevant features: abstract syntax tree (AST) production, wrapped functions, global initialization of a function, delay expression evaluation at runtime, and dynamic scopes. |
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Axel Naumann 2010 LLVM Developers’ meeting |
This presentation introduces Cling, an ahead-of-time compiler that extends C++ for ease of use as an interpreter. |
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2022.2 Version |
CLion uses Cling to integrate the Quick Documentation popup by allowing you to view the value of the expressions evaluated at compile time. |
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Vassil Vassilev 2021 CppCon (The C++ Conference) |
In this video, the author discusses how Cling enables interactive C++ for Data Science projects. |
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Vassil Vassilev 2021 The LLVM Project Blog |
This blog page discusses how Cling enables template Instantiation on demand, language interoperability on demand, interpreter/compiler as a service, plugins extension. |
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Noah Weninger 2020 |
A tiny C++ live-coded overlap-add (re)synthesizer for Linux, which uses Cling to add REPL-like functionality for C++ code. |
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Vassil Vassilev, David Lange, Simeon Ehrig, Sylvain Corlay 2020 The LLVM Project Blog |
Cling enables eval-style programming for Data Science applications. Examples of ROOT and Xeus-Cling for data science are shown. |
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Vassil Vassilev 2020 The LLVM Project Blog |
This blog page briefly discusses the concept of interactive C++ by presenting Cling’s main features, such as wrapper functions, entity redefinition, error recovery. |
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Jack Armitage 2019 |
Cling has been installed on a BeagleBoard to bring live coding to the Bela interactive audio platform. |
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Arpitha Raghunandan 2012 Google Summer of Code GSoC |
GlobalModuleIndex can be used for improving ROOT’s and Cling’s performance |
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Axel Naumann 2016 GitHub |
This video showcases how to use Cling as a library, and shows how to set up a simple CMake configuration that uses Cling. |
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Mika 2015 Youtube |
In this tutorial, a developer tries Cling for the first time by uploading a few simple C++ user-cases onto Cling, involving also the loading of external files |
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Dimitri Nesteruk 2015 Youtube |
This demo shows how to build a simple order book using C++, CLion, Google Test and, of course, Cling. |
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Dimitri Nesteruk 2015 Youtube |
This tutorial describes Cling’s general features. You will learn how to start Cling on Ubuntu, how to write a simple expression (N=5, N++) and how to define a Class for calculating body mass index. |
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Alexander Penev 2012 Youtube |
This demo shows how to use Cling for interactive OpenGL. A rotating triangle with changing color, a static figure, and a figure with light effects are created. |
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Compiler Research - Calling C++ libraries from a D-written DSL: A cling/cppyy-based approach |
Alexandru Militaru 2021 Compiler-Research Meeting |
This video presents D and C++ interoperability through SIL-Cling architecture |
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Simeon Ehrig 2020 LLVM Developer Meeting |
Interactive CUDA-C++ through Cling is presented. Cling-CUDA architecture is discussed in detail, and an example of interactive simulation for laser plasma applications is shown. |
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Interactive C++ code development using C++Explorer and GitHub Classroom for educational purposes |
Patrick Diehl 2020 Youtube |
C++Explorer is a novel teaching environment based on Jupyterhub and Cling, adapted to teaching C++ programming and source code management. |
Vassil Vassilev 2021 Youtube |
Xeus-Cling is a Cling-based notebook kernel which delivers interactive C++. |
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LearnOpenCV 2019 Youtube |
In this demo, you will learn an example of C++ code in Jupyter Notebook using Xeus-Cling kernel. |
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Read The Docs webpage |
Clad is a plugin for Cling. It allows to perform Automatic Differentiation (AD) on multivariate functions and functor objects |