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001041739 005__ 20250506202215.0
001041739 0247_ $$2doi$$a10.5281/ZENODO.15125898
001041739 037__ $$aFZJ-2025-02415
001041739 1001_ $$0P:(DE-Juel1)132112$$aMarkus Geimer$$b0$$eCorresponding author
001041739 245__ $$aScalasca Trace Tools: Toolset for scalable performance analysis of large-scale parallel applications (v2.6.2)
001041739 250__ $$a2.6.2
001041739 260__ $$c2025
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001041739 3367_ $$06$$2EndNote$$aComputer Program
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001041739 520__ $$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.
001041739 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001041739 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x1
001041739 536__ $$0G:(DE-Juel-1)ATMLAO$$aATMLAO - ATML Application Optimization and User Service Tools (ATMLAO)$$cATMLAO$$x2
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001041739 650_7 $$2Other$$aperformance analysis
001041739 650_7 $$2Other$$aScore-P
001041739 650_7 $$2Other$$aCube
001041739 650_7 $$2Other$$aHPC
001041739 650_7 $$2Other$$aMPI
001041739 650_7 $$2Other$$aOpenMP
001041739 650_7 $$2Other$$atrace tools
001041739 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b1$$ufzj
001041739 7001_ $$0P:(DE-Juel1)188670$$aCorbin, Gregor$$b2$$ufzj
001041739 7001_ $$0P:(DE-Juel1)188664$$aDaoud, Nour$$b3$$ufzj
001041739 7001_ $$0P:(DE-Juel1)132244$$aFeld, Christian$$b4$$ufzj
001041739 7001_ $$0P:(DE-HGF)0$$aHermanns, Marc-André$$b5
001041739 7001_ $$0P:(DE-Juel1)132163$$aKnobloch, Michael$$b6$$ufzj
001041739 7001_ $$0P:(DE-Juel1)167509$$aReuter, Jan Andre$$b7$$ufzj
001041739 7001_ $$0P:(DE-Juel1)132249$$aSaviankou, Pavel$$b8$$ufzj
001041739 7001_ $$0P:(DE-Juel1)142180$$aSchlütter, Marc$$b9$$ufzj
001041739 7001_ $$0P:(DE-Juel1)132282$$aVisser, Anke$$b10$$ufzj
001041739 7001_ $$0P:(DE-Juel1)132302$$aWylie, Brian J. N.$$b11$$ufzj
001041739 7001_ $$0P:(DE-Juel1)144419$$aZhukov, Ilya$$b12$$ufzj
001041739 773__ $$a10.5281/ZENODO.15125898
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001041739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132282$$aForschungszentrum Jülich$$b10$$kFZJ
001041739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132302$$aForschungszentrum Jülich$$b11$$kFZJ
001041739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144419$$aForschungszentrum Jülich$$b12$$kFZJ
001041739 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$$x0
001041739 9141_ $$y2025
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