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| Hauptseite > Publikationsdatenbank > jCubeR: Java reader library (V 4.8) > print |
| 001 | 917007 | ||
| 005 | 20250314084121.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.7418572 |2 doi |
| 037 | _ | _ | |a FZJ-2023-00273 |
| 100 | 1 | _ | |a Saviankou, Pavel |0 P:(DE-Juel1)132249 |b 0 |e Corresponding author |
| 245 | _ | _ | |a jCubeR: Java reader library (V 4.8) |
| 250 | _ | _ | |a 4.8 |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1673327847_24179 |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 Java reader library (jCubeR) is used by TAU to import the Score-P's performance measurement result. |
| 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 profiling |2 Other |
| 650 | _ | 7 | |a Cube |2 Other |
| 650 | _ | 7 | |a Score-P |2 Other |
| 650 | _ | 7 | |a Java |2 Other |
| 650 | _ | 7 | |a TAU |2 Other |
| 773 | _ | _ | |a 10.5281/ZENODO.7418572 |
| 909 | C | O | |o oai:juser.fz-juelich.de:917007 |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 |
| 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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