{"title":"Physical units helpful for multiscale modelling","authors":"Wayne Arter","doi":"10.1016/j.cpc.2025.109528","DOIUrl":null,"url":null,"abstract":"<div><div>The work addresses the problem of the interoperability of modelling codes, especially in the context of the relatively limited bandwidth of current High-Performance Computers (HPC). Many codes employ non-dimensionalisations that effectively set units by the scalings they choose for length, time and other key quantities. These units can be difficult to unpick in a multiscale environment, but the natural choice of SI units usually leads to a need to treat a much large range of number with negative consequences for HPC deployment. A compromise, applicable to both particle and mesh-based codes, is sought whereby the user may set length- and time-scales in SI units appropriate to the plasma or other modelling problem under consideration. Application is made both analytically and to existing plasma software that demonstrates reduced need for number range relative to SI. An algorithm is presented that enables treatment of the often tricky problem of changing units with minimal user intervention. The code work indicates use of single-precision (32-bit real number representations) may be adequate for particle-mesh modelling in an unexpectedly large range of circumstances.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"310 ","pages":"Article 109528"},"PeriodicalIF":7.2000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Physics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010465525000311","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The work addresses the problem of the interoperability of modelling codes, especially in the context of the relatively limited bandwidth of current High-Performance Computers (HPC). Many codes employ non-dimensionalisations that effectively set units by the scalings they choose for length, time and other key quantities. These units can be difficult to unpick in a multiscale environment, but the natural choice of SI units usually leads to a need to treat a much large range of number with negative consequences for HPC deployment. A compromise, applicable to both particle and mesh-based codes, is sought whereby the user may set length- and time-scales in SI units appropriate to the plasma or other modelling problem under consideration. Application is made both analytically and to existing plasma software that demonstrates reduced need for number range relative to SI. An algorithm is presented that enables treatment of the often tricky problem of changing units with minimal user intervention. The code work indicates use of single-precision (32-bit real number representations) may be adequate for particle-mesh modelling in an unexpectedly large range of circumstances.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.