000917408 001__ 917408
000917408 005__ 20250317091733.0
000917408 0247_ $$2doi$$a10.5281/ZENODO.7534373
000917408 037__ $$aFZJ-2023-00622
000917408 1001_ $$0P:(DE-Juel1)138707$$aBreuer, Thomas$$b0$$eCorresponding author
000917408 245__ $$aJUBE (Version 2.5.1)
000917408 250__ $$a2.5.1
000917408 260__ $$c2022
000917408 3367_ $$2DCMI$$aSoftware
000917408 3367_ $$0PUB:(DE-HGF)33$$2PUB:(DE-HGF)$$aSoftware$$bsware$$msware$$s1673848567_26348
000917408 3367_ $$2BibTeX$$aMISC
000917408 3367_ $$06$$2EndNote$$aComputer Program
000917408 3367_ $$2ORCID$$aOTHER
000917408 3367_ $$2DataCite$$aSoftware
000917408 520__ $$aBenchmarking a computer system usually involves numerous tasks, involving several runs of different applications. Configuring, compiling, and running a benchmark suite on several platforms with the accompanied tasks of result verification and analysis needs a lot of administrative work and produces a lot of data, which has to be analysed and collected in a central database. Without a benchmarking environment all these steps have to be performed by hand. For each benchmark application the benchmark data is written out in a certain format that enables the benchmarker to deduct the desired information. This data can be parsed by automatic pre- and post-processing scripts that draw information, and store it more densely for manual interpretation. The JUBE benchmarking environment provides a script based framework to easily create benchmark sets, run those sets on different computer systems and evaluate the results. It is actively developed by the Jülich Supercomputing Centre of Forschungszentrum Jülich, Germany.
000917408 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000917408 536__ $$0G:(BMWi)03EI1004F$$aVerbundvorhaben: UNSEEN ' Bewertung der Unsicherheiten in linear optimierenden Energiesystem-Modellen unter Zuhilfenahme Neuronaler Netze, Teilvorhaben: Entwicklung einer integrierten HPC-Workflow Umgebung zur Kopplung von Optimierungsmethoden mit Methode (03EI1004F)$$c03EI1004F$$x1
000917408 536__ $$0G:(DE-Juel-1)ATMLAO$$aATMLAO - ATML Application Optimization and User Service Tools (ATMLAO)$$cATMLAO$$x2
000917408 588__ $$aDataset connected to DataCite
000917408 650_7 $$2Other$$aWorkflow
000917408 650_7 $$2Other$$aBenchmark
000917408 650_7 $$2Other$$aHPC
000917408 650_7 $$2Other$$aHigh Performance Computing
000917408 7001_ $$0P:(DE-Juel1)7757$$aLührs, Sebastian$$b1
000917408 7001_ $$0P:(DE-Juel1)176521$$aSmolenko, Andreas$$b2$$ufzj
000917408 7001_ $$0P:(DE-Juel1)176588$$aWellmann, Julia$$b3
000917408 773__ $$a10.5281/ZENODO.7534373
000917408 909CO $$ooai:juser.fz-juelich.de:917408$$pVDB
000917408 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138707$$aForschungszentrum Jülich$$b0$$kFZJ
000917408 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)7757$$aForschungszentrum Jülich$$b1$$kFZJ
000917408 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176588$$aForschungszentrum Jülich$$b3$$kFZJ
000917408 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000917408 9141_ $$y2022
000917408 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000917408 980__ $$asware
000917408 980__ $$aVDB
000917408 980__ $$aI:(DE-Juel1)JSC-20090406
000917408 980__ $$aUNRESTRICTED