001     917004
005     20250314084120.0
024 7 _ |a 10.5281/ZENODO.6451949
|2 doi
037 _ _ |a FZJ-2023-00270
100 1 _ |a Saviankou, Pavel
|0 P:(DE-Juel1)132249
|b 0
|e Corresponding author
245 _ _ |a CubeGUI: Graphical explorer (V 4.7)
250 _ _ |a 4.7
260 _ _ |c 2022
336 7 _ |a Software
|2 DCMI
336 7 _ |a Software
|b sware
|m sware
|0 PUB:(DE-HGF)33
|s 1673327800_4439
|2 PUB:(DE-HGF)
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Computer Program
|0 6
|2 EndNote
336 7 _ |a OTHER
|2 ORCID
336 7 _ |a Software
|2 DataCite
520 _ _ |a 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 Graphical explorer (CubeGUI) is used to display and to analyse the result of the Score-P's performance measurement or of the Scalasca's trace analysis. In addition, Cube can display multi-dimensional Cartesian process topologies.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
|x 0
536 _ _ |a POP2 - Performance Optimisation and Productivity 2 (824080)
|0 G:(EU-Grant)824080
|c 824080
|f H2020-INFRAEDI-2018-1
|x 1
536 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
|c ATMLPP
|x 2
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Performance measurement
|2 Other
650 _ 7 |a Performance analysis
|2 Other
650 _ 7 |a Performance exploration
|2 Other
650 _ 7 |a Cube
|2 Other
650 _ 7 |a Score-P
|2 Other
650 _ 7 |a Scalasca
|2 Other
650 _ 7 |a HPC
|2 Other
650 _ 7 |a GUI
|2 Other
650 _ 7 |a Plugins
|2 Other
700 1 _ |a Visser, Anke
|0 P:(DE-Juel1)132282
|b 1
773 _ _ |a 10.5281/ZENODO.6451949
909 C O |o oai:juser.fz-juelich.de:917004
|p openaire
|p VDB
|p ec_fundedresources
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)132249
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132282
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
|x 0
914 1 _ |y 2022
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a sware
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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Marc 21