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| Hauptseite > Publikationsdatenbank > CubeLib: General purpose C++ library and tools (V 4.7) > print |
| 001 | 917002 | ||
| 005 | 20250314084120.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.6451943 |2 doi |
| 037 | _ | _ | |a FZJ-2023-00268 |
| 100 | 1 | _ | |a Saviankou, Pavel |0 P:(DE-Juel1)132249 |b 0 |e Corresponding author |
| 245 | _ | _ | |a CubeLib: General purpose C++ library and tools (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 1673327772_23592 |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 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. |
| 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 analysis |2 Other |
| 650 | _ | 7 | |a Performance metrics |2 Other |
| 650 | _ | 7 | |a Performance profiling |2 Other |
| 650 | _ | 7 | |a Performance profile tools |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 |
| 773 | _ | _ | |a 10.5281/ZENODO.6451943 |
| 909 | C | O | |o oai:juser.fz-juelich.de:917002 |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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