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| 001 | 1005481 | ||
| 005 | 20250314084121.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.7737411 |2 doi |
| 037 | _ | _ | |a FZJ-2023-01497 |
| 100 | 1 | _ | |a Saviankou, Pavel |0 P:(DE-Juel1)132249 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a CubeGUI: Graphical explorer v4.8.1 |
| 250 | _ | _ | |a 4.8.1 |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1679036521_26462 |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 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 1 |
| 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 |u fzj |
| 773 | _ | _ | |a 10.5281/ZENODO.7737411 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1005481 |p VDB |
| 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 2023 |
| 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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