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This data set concerns the performance and characteristics of the newly BDD library, Adiar (github.com/ssoelvsten/adiar), as has been reported in the full paper "Efficient Binary Decision Diagram Manipulation in External Memory" (https://arxiv.org/abs/2104.12101) and the short version "Adiar: Binary Decision Diagrams in External Memory" submitted to FM 2021. In the .zip files you can find the raw data as was output onto the console. The .odt spreadsheet files contain the data analysis, which exactly shows how we derived the reported numbers. Please, read the introductory discussion in each spreadsheet. Notice, that the raw data often uses the old name for the BDD library, COOM, rather than Adiar.
{"references": ["S\u00f8lvsten, Steffan C. (2021). Efficient Binary Decision Diagram Manipulation in External Memory. arXiv:2104.12101"]}
I/O-efficient algorithms, Binary Decision Diagrams
I/O-efficient algorithms, Binary Decision Diagrams
| 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). | 0 | |
| 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 | 2 |

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