QSPcc reduces bottlenecks in computational model simulations

Autor: Danilo Tomasoni, Alessio Paris, Stefano Giampiccolo, Federico Reali, Giulia Simoni, Luca Marchetti, Chanchala Kaddi, Susana Neves-Zaph, Corrado Priami, Karim Azer, Rosario Lombardo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Druh dokumentu: article
ISSN: 2399-3642
DOI: 10.1038/s42003-021-02553-9
Popis: 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.
Databáze: Directory of Open Access Journals
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