- Daniel S. Katz
- Lois Curfman McInnes
- David E Bernholdt
- Abigail Cabunoc Mayes
- Neil Chue Hong
- Jonah Duckles
- Sandra Gesing
- Michael Heroux
- Simon Hettrick
- Rafael C Jimenez
- Marlon Pierce
- Belinda Weaver
- Nancy Wilkins-Diehr
Original language | English |
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Pages (from-to) | 8-24 |
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Number of pages | 19 |
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Journal | Computing in Science and Engineering |
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Volume | 21 |
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Issue number | 2 |
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Early online date | 6 Dec 2018 |
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DOIs | |
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Publication status | Published - 8 Mar 2019 |
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Software is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and analysis for science, engineering, and other research fields. However, software itself has not traditionally received focused attention from research communities; rather, software has evolved organically and inconsistently, with its development largely as by-products of other initiatives. Moreover, challenges in scientific software are expanding due to disruptive changes in computer hardware, increasing scale and complexity of data, and demands for more complex simulations involving multiphysics, multiscale modeling and outer-loop analysis. In recent years, community members have established a range of grass-roots organizations and projects to address these growing technical and social challenges in software productivity, quality, reproducibility, and sustainability. This article provides an overview of such groups and discusses opportunities to leverage their synergistic activities while nurturing work toward emerging software ecosystems.
ID: 75331875