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doi: 10.5281/zenodo.7418560 , 10.5281/zenodo.3885289 , 10.5281/zenodo.6451938 , 10.5281/zenodo.1248061 , 10.5281/zenodo.8345094 , 10.5281/zenodo.4705918 , 10.5281/zenodo.3357616 , 10.5281/zenodo.7737391 , 10.5281/zenodo.18079682 , 10.5281/zenodo.1413516 , 10.5281/zenodo.15051725 , 10.5281/zenodo.1248060 , 10.5281/zenodo.2601054
doi: 10.5281/zenodo.7418560 , 10.5281/zenodo.3885289 , 10.5281/zenodo.6451938 , 10.5281/zenodo.1248061 , 10.5281/zenodo.8345094 , 10.5281/zenodo.4705918 , 10.5281/zenodo.3357616 , 10.5281/zenodo.7737391 , 10.5281/zenodo.18079682 , 10.5281/zenodo.1413516 , 10.5281/zenodo.15051725 , 10.5281/zenodo.1248060 , 10.5281/zenodo.2601054
Cube is a generic set of tools for description and analysis of a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. The Cube high performance C Writer library (CubeW) is used by Score-P performance instrumentation and measurement infrastructure and by the Scalasca version 2.x trace analyzer (and other compatible tools).
{"references": ["https://doi.org/10.1016/j.procs.2015.05.320", "https://doi.org/10.1007/978-3-319-16012-2_1", "http://doi.org/10.1007/978-3-642-31476-6_7"]}
Performance metrics, Call tree, Score-P, Scalasca, Performance measurement, HPC, Performance Profiling, Cube
Performance metrics, Call tree, Score-P, Scalasca, Performance measurement, HPC, Performance Profiling, Cube
| 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 |
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| downloads | 9 |

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