QSPcc reduces bottlenecks in computational model simulations

Lombardo and colleagues present QSPcc, a computational code compiler designed to convert code from popular scientific programming languages, such as MATLAB or R, into fast-running C code. This reduces the computational load required for complex modelling approaches and reduces user investment learni...

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Main Authors:	Danilo Tomasoni, Alessio Paris, Stefano Giampiccolo, Federico Reali, Giulia Simoni, Luca Marchetti, Chanchala Kaddi, Susana Neves-Zaph, Corrado Priami, Karim Azer, Rosario Lombardo
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-09-01
Series:	Communications Biology
Online Access:	https://doi.org/10.1038/s42003-021-02553-9

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spelling	doaj-bbfb9707f88c446087e6464dcdeadb0c2021-09-05T11:21:08ZengNature Publishing GroupCommunications Biology2399-36422021-09-014111010.1038/s42003-021-02553-9QSPcc reduces bottlenecks in computational model simulationsDanilo Tomasoni0Alessio Paris1Stefano Giampiccolo2Federico Reali3Giulia Simoni4Luca Marchetti5Chanchala Kaddi6Susana Neves-Zaph7Corrado Priami8Karim Azer9Rosario Lombardo10Fondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyData and Data Science – Translational Disease Modeling, SanofiData and Data Science – Translational Disease Modeling, SanofiFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyData and Data Science – Translational Disease Modeling, SanofiFondazione the Microsoft Research, University of Trento Centre for Computational and Systems BiologyLombardo and colleagues present QSPcc, a computational code compiler designed to convert code from popular scientific programming languages, such as MATLAB or R, into fast-running C code. This reduces the computational load required for complex modelling approaches and reduces user investment learning additional complex languages.https://doi.org/10.1038/s42003-021-02553-9
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Danilo Tomasoni Alessio Paris Stefano Giampiccolo Federico Reali Giulia Simoni Luca Marchetti Chanchala Kaddi Susana Neves-Zaph Corrado Priami Karim Azer Rosario Lombardo
spellingShingle	Danilo Tomasoni Alessio Paris Stefano Giampiccolo Federico Reali Giulia Simoni Luca Marchetti Chanchala Kaddi Susana Neves-Zaph Corrado Priami Karim Azer Rosario Lombardo QSPcc reduces bottlenecks in computational model simulations Communications Biology
author_facet	Danilo Tomasoni Alessio Paris Stefano Giampiccolo Federico Reali Giulia Simoni Luca Marchetti Chanchala Kaddi Susana Neves-Zaph Corrado Priami Karim Azer Rosario Lombardo
author_sort	Danilo Tomasoni
title	QSPcc reduces bottlenecks in computational model simulations
title_short	QSPcc reduces bottlenecks in computational model simulations
title_full	QSPcc reduces bottlenecks in computational model simulations
title_fullStr	QSPcc reduces bottlenecks in computational model simulations
title_full_unstemmed	QSPcc reduces bottlenecks in computational model simulations
title_sort	qspcc reduces bottlenecks in computational model simulations
publisher	Nature Publishing Group
series	Communications Biology
issn	2399-3642
publishDate	2021-09-01
description	Lombardo and colleagues present QSPcc, a computational code compiler designed to convert code from popular scientific programming languages, such as MATLAB or R, into fast-running C code. This reduces the computational load required for complex modelling approaches and reduces user investment learning additional complex languages.
url	https://doi.org/10.1038/s42003-021-02553-9
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QSPcc reduces bottlenecks in computational model simulations

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