ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2019
Mastering the scales: a survey on the benefits of multiscale computing software.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies.iScience · 2022Review
- An Experimentally Based Micromechanical Framework Exploring Effects of Void Shape on Macromechanical Properties.Materials (Basel, Switzerland) · 2022Article
- preCICE v2: A sustainable and user-friendly coupling library.Open research Europe · 2022Article
- A Multi-Scale Approach for Phase Field Modeling of Ultra-Hard Ceramic Composites.Materials (Basel, Switzerland) · 2021Article
- Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.Molecular biology of the cell · 2021Article
- Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach.Environmental modelling & software : with environment data news · 2021Article
- Multiscale computing for science and engineering in the era of exascale performance.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
- Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
- Multiscale modelling, simulation and computing: from the desktop to the exascale.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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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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