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This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems" by Daniel J. Magee, Anthony S. Walker, and Kyle E. Niemeyer (2020). The plotting scripts were all run using Python 3.7.6, and should be compatible with >3.6, but this has not been tested. The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
This material is based upon work supported by NASA under award No. NNX15AU66A.
swept time-space decomposition, domain decomposition, reproducibility pack, computational fluid dynamics, GPU computing
swept time-space decomposition, domain decomposition, reproducibility pack, computational fluid dynamics, GPU computing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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