Please use this identifier to cite or link to this item:
Title: Mastering the scales: A survey on the benefits of multiscale computing software
Authors: Groen, D
Knap, J
Neumann, P
Suleimenova, D
Veen, L
Leiter, K
Keywords: Multiscale computing;Multiscale modelling;Multiscale simulation;High-performance computing;Usability
Issue Date: 2018
Publisher: Royal Society, The
Citation: Philosophical Transactions A: Mathematical, Physical and Engineering Sciences
Abstract: In the last few decades, multiscale modeling has emerged as one of the dominant modeling 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 modeling paradigm is now accompanied by a vibrant ecosystem of multiscale computing software (MCS) which promise 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 22 representative MCS tools enhance each development step. We observe several gaps in the features provided by MCS tools, specially 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.
ISSN: 1364-503X
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf600.62 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.