Improving Interoperability in Scientific Computing via MaRDI Open Interfaces

MaRDI Open Interfaces is a software project aimed at improving reuse and interoperability in Scientific Computing by alleviating the difficulties of crossing boundaries between different programming languages, in which numerical packages are usually implemented, and of switching between multiple implementations of the same mathematical problem. The software consists of a set of formal interface specifications for common Scientific Computing tasks, as well as a set of loosely coupled libraries that facilitate implementing these interfaces or adapting existing implementations for multiple programming languages and handle data marshalling automatically without sacrificing performance, enabling users to use different implementations without significant code efforts. The software has high reuse potential due to aim to solve general numerical problems.

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Publication Details

Journal
Universitäts- und Landesbibliothek Münster
Published
2025-11-13
DOI
https://doi.org/10.17879/90988565647
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
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article

Improving Interoperability in Scientific Computing via MaRDI Open Interfaces

Universitäts- und Landesbibliothek Münster
Mathematics, Computing, and Information Processing
article

Improving Interoperability in Scientific Computing via MaRDI Open Interfaces

article en

Abstract

MaRDI Open Interfaces is a software project aimed at improving reuse and interoperability in Scientific Computing by alleviating the difficulties of crossing boundaries between different programming languages, in which numerical packages are usually implemented, and of switching between multiple implementations of the same mathematical problem. The software consists of a set of formal interface specifications for common Scientific Computing tasks, as well as a set of loosely coupled libraries that facilitate implementing these interfaces or adapting existing implementations for multiple programming languages and handle data marshalling automatically without sacrificing performance, enabling users to use different implementations without significant code efforts. The software has high reuse potential due to aim to solve general numerical problems.

Universitäts- und Landesbibliothek Münster
University of Münster (DE)
Openalex Percentile: Top 30%
Mathematics, Computing, and Information Processing
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