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Mastering the scales: a survey on the benefits of multiscale computing software.
Groen, Derek; Knap, Jaroslaw; Neumann, Philipp; Suleimenova, Diana; Veen, Lourens; Leiter, Kenneth.
Afiliação
  • Groen D; 1 Department of Computer Science , Brunel University London , Uxbridge , UK.
  • Knap J; 2 US Army Research Laboratory , Aberdeen Proving Ground , Aberdeen, MD , USA.
  • Neumann P; 3 Department of Scientific Computing , University of Hamburg , Hamburg , Germany.
  • Suleimenova D; 1 Department of Computer Science , Brunel University London , Uxbridge , UK.
  • Veen L; 4 Netherlands eScience Center , Amsterdam , The Netherlands.
  • Leiter K; 2 US Army Research Laboratory , Aberdeen Proving Ground , Aberdeen, MD , USA.
Philos Trans A Math Phys Eng Sci ; 377(2142): 20180147, 2019 Apr 08.
Article em En | MEDLINE | ID: mdl-30967042
ABSTRACT
In the last few decades, multiscale modelling has emerged as one of the dominant modelling paradigms in many areas of science and engineering. Its rise to dominance is primarily driven by advancements in computing power and the need to model systems of increasing complexity. The multiscale modelling paradigm is now accompanied by a vibrant ecosystem of multiscale computing software (MCS) which promises to address many challenges in the development of multiscale applications. In this paper, we define the common steps in the multiscale application development process and investigate to what degree a set of 21 representative MCS tools enhance each development step. We observe several gaps in the features provided by MCS tools, especially for application deployment and the preparation and management of production runs. In addition, we find that many MCS tools are tailored to a particular multiscale computing pattern, even though they are otherwise application agnostic. We conclude that the gaps we identify are characteristic of a field that is still maturing and features that enhance the deployment and production steps of multiscale application development are desirable for the long-term success of MCS in its application fields. This article is part of the theme issue 'Multiscale modelling, simulation and computing from the desktop to the exascale'.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido