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001     1018368
005     20250314084121.0
024 7 _ |a 10.5281/ZENODO.8345175
|2 doi
037 _ _ |a FZJ-2023-04753
100 1 _ |a Saviankou, Pavel
|0 P:(DE-Juel1)132249
|b 0
|e Corresponding author
|u fzj
245 _ _ |a CubeLib: General purpose C++ library and tools (v4.8.2)
250 _ _ |a 4.8.2
260 _ _ |c 2023
336 7 _ |a Software
|2 DCMI
336 7 _ |a Software
|b sware
|m sware
|0 PUB:(DE-HGF)33
|s 1702449057_7741
|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 _ _ |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 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
700 1 _ |a community, Cube developer
|0 P:(DE-HGF)0
|b 1
773 _ _ |a 10.5281/ZENODO.8345175
856 4 _ |u https://zenodo.org/records/8345175
909 C O |o oai:juser.fz-juelich.de:1018368
|p VDB
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 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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