000917090 001__ 917090
000917090 005__ 20250314084121.0
000917090 0247_ $$2doi$$a10.5281/ZENODO.7440854
000917090 037__ $$aFZJ-2023-00332
000917090 1001_ $$0P:(DE-Juel1)132112$$aGeimer, Markus$$b0$$eCorresponding author$$ufzj
000917090 245__ $$aScalasca Trace Tools: Toolset for scalable performance analysis of large-scale parallel applications (v2.6.1)
000917090 250__ $$a2.6.1
000917090 260__ $$c2022
000917090 3367_ $$2DCMI$$aSoftware
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000917090 3367_ $$06$$2EndNote$$aComputer Program
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000917090 520__ $$aScalasca is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behaviour. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes.  Scalasca supports the performance optimization of simulation codes on a wide range of current HPC platforms. Its powerful analysis and intuitive result presentation guides the developer through the tuning process. Scalasca targets mainly scientific and engineering applications based on the programming interfaces MPI and OpenMP, including hybrid applications based on a combination of the two. The tool has been specifically designed for use on large-scale systems, but is also well suited for small- and medium-scale HPC platforms. The software is available for free download under the New BSD open-source license.
000917090 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000917090 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x1
000917090 588__ $$aDataset connected to DataCite
000917090 650_7 $$2Other$$aperformance analysis
000917090 650_7 $$2Other$$aScore-P
000917090 650_7 $$2Other$$aCube
000917090 650_7 $$2Other$$aHPC
000917090 650_7 $$2Other$$aMPI
000917090 650_7 $$2Other$$aOpenMP
000917090 650_7 $$2Other$$atrace tools
000917090 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b1$$ufzj
000917090 7001_ $$0P:(DE-Juel1)188670$$aCorbin, Gregor$$b2$$ufzj
000917090 7001_ $$0P:(DE-Juel1)188664$$aDaoud, Nour$$b3$$ufzj
000917090 7001_ $$0P:(DE-Juel1)132244$$aFeld, Christian$$b4$$ufzj
000917090 7001_ $$0P:(DE-HGF)0$$aHermanns, Marc-André$$b5
000917090 7001_ $$0P:(DE-Juel1)132163$$aKnobloch, Michael$$b6$$ufzj
000917090 7001_ $$0P:(DE-Juel1)167509$$aReuter, Jan Andre$$b7$$ufzj
000917090 7001_ $$0P:(DE-Juel1)132249$$aSaviankou, Pavel$$b8$$ufzj
000917090 7001_ $$0P:(DE-Juel1)142180$$aSchlütter, Marc$$b9$$ufzj
000917090 7001_ $$0P:(DE-Juel1)132282$$aVisser, Anke$$b10$$ufzj
000917090 7001_ $$0P:(DE-Juel1)132302$$aWylie, Brian J. N.$$b11$$ufzj
000917090 7001_ $$0P:(DE-Juel1)144419$$aZhukov, Ilya$$b12$$ufzj
000917090 773__ $$a10.5281/ZENODO.7440854
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000917090 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132282$$aForschungszentrum Jülich$$b10$$kFZJ
000917090 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132302$$aForschungszentrum Jülich$$b11$$kFZJ
000917090 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144419$$aForschungszentrum Jülich$$b12$$kFZJ
000917090 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$$x0
000917090 9141_ $$y2022
000917090 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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