article · Computing in Science & Engineering · 2014
Run-Time Extensibility and Librarization of Simulation Software
Jed Brown, Matthew G. Knepley, Barry Smith
Cited by 27Abstract and details only
Abstract
Build-time configuration and environment assumptions are hampering progress and usability in scientific software. This situation, which would be utterly unacceptable in nonscientific software, somehow passes for the norm in scientific packages. The scientific software community needs reusable, easy-to-use software packages that are flexible enough to accommodate next-generation simulation and analysis demands.
Cite this paper
Brown, J., Knepley, M. G., & Smith, B. (2014). Run-Time Extensibility and Librarization of Simulation Software. Computing in Science & Engineering, 17(1), 38–45. https://doi.org/10.1109/mcse.2014.95
Brown, Jed, et al. “Run-Time Extensibility and Librarization of Simulation Software.” Computing in Science & Engineering, vol. 17, no. 1, 2014, pp. 38–45, https://doi.org/10.1109/mcse.2014.95.
Brown, Jed, Matthew G. Knepley, and Barry Smith. 2014. “Run-Time Extensibility and Librarization of Simulation Software.” Computing in Science & Engineering 17 (1): 38–45. https://doi.org/10.1109/mcse.2014.95.
Brown, J., Knepley, M.G. and Smith, B. (2014) ‘Run-Time Extensibility and Librarization of Simulation Software’, Computing in Science & Engineering, 17(1), pp. 38–45. Available at: https://doi.org/10.1109/mcse.2014.95.
@article{brown2014time,
title = {{Run-Time Extensibility and Librarization of Simulation Software}},
author = {Brown, Jed and Knepley, Matthew G. and Smith, Barry},
journal = {Computing in Science & Engineering},
volume = {17},
number = {1},
pages = {38--45},
year = {2014},
doi = {10.1109/mcse.2014.95}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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