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Software . 2015
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scipy_2014_python-cmake-buildsystem_poster: SciPy 2014 - Python CMake build system

Authors: Jean-Christophe Fillion-Robin;

scipy_2014_python-cmake-buildsystem_poster: SciPy 2014 - Python CMake build system

Abstract

This poster was presented at SciPy 2014 conference. It describes a system for faster, straightforward cross-platform CPython builds across HPC, desktop, and mobile platforms with multiple build system generators and easy integration with C/C++/Fortran scientific computing libraries. Abstract While the Python language has seen multiple implementations across a number of languages as it has grown in popularity, the original C-implementation of Python, CPython, remains the most widely adopted implementation for scientific computing. This can be largely attributed to the ubiquitous presence of C-build systems on scientific computing platforms and the large number of libraries that have a C interface, which are bridged with C-Python Extension Modules. CMake is a popular cross-platform build system that performs reliable system introspection and configuration of C/C++/Fortran builds. The scientific computing community has tooled the python.org C-Python distribution with a CMake configuration so CPython can be built with the CMake build system. This enables cross-compilation for HPC clusters, the raspberry PI, and ARM architectures such as those found in mobile platforms, static and shared builds, and a static python with C extension modules included in the library, for example. Additionally, it provides capabilities such as faster compilation, cross-platform builds with multiple build system generators, easy integration with other CMake configured projects, and configuration and linking other scientific computing libraries into C-Extensions. It is a community maintained, open source project available on Github with nightly test results submitted to a software quality dashboard.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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