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doi: 10.5281/zenodo.7418577 , 10.5281/zenodo.2601107 , 10.5281/zenodo.3885294 , 10.5281/zenodo.3357619 , 10.5281/zenodo.1248078 , 10.5281/zenodo.7737408 , 10.5281/zenodo.4705923 , 10.5281/zenodo.1248079 , 10.5281/zenodo.8345175 , 10.5281/zenodo.6451943 , 10.5281/zenodo.1413518 , 10.5281/zenodo.15051777
doi: 10.5281/zenodo.7418577 , 10.5281/zenodo.2601107 , 10.5281/zenodo.3885294 , 10.5281/zenodo.3357619 , 10.5281/zenodo.1248078 , 10.5281/zenodo.7737408 , 10.5281/zenodo.4705923 , 10.5281/zenodo.1248079 , 10.5281/zenodo.8345175 , 10.5281/zenodo.6451943 , 10.5281/zenodo.1413518 , 10.5281/zenodo.15051777
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 General purpose C++ library (CubeLib) is used by Score-P performance instrumentation and measurement infrastructure and by the Scalasca version 2.x trace analyzer (and other compatible tools) to process performance analysis results.
{"references": ["http://doi.org/10.1007/978-3-642-31476-6_7"]}
Performance metrics, Performance profile tools, Score-P, Performance profiling, Scalasca, Performance analysis, HPC, Cube
Performance metrics, Performance profile tools, Score-P, Performance profiling, Scalasca, Performance analysis, HPC, Cube
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