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Record Nr. |
UNINA9910338252103321 |
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Titolo |
Tools for High Performance Computing 2017 : Proceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany / / edited by Christoph Niethammer, Michael M. Resch, Wolfgang E. Nagel, Holger Brunst, Hartmut Mix |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (VII, 143 p. 117 illus., 68 illus. in color.) |
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Disciplina |
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Soggetti |
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Mathematics - Data processing |
Computers |
Computer programming |
Computational Science and Engineering |
Hardware Performance and Reliability |
Programming Techniques |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Michael Wagner, Stephan Mohr, Judit Giménez, and Jesús Labarta: A Structured Approach to Performance Analysis -- Anthony Danalis, Heike Jagode, Hanumantharayappa, Sangamesh Ragate, and Jack Dongarra: Counter Inspection Toolkit: Making Sense out of Hardware Performance Events -- Youenn Lebras, Andres S. Charif Rubial, Romain Dolbeau, and William Jalby: ASSIST: An FDO source-to-source transformation tool for HPC applications -- Jean-Baptiste Besnard, Allen D. Malony, Sameer Shende, Marc Pérache, Patrick Carribault, and Julien Jaeger: Unifying the Analysis of Performance Event Streams at the Consumer Interface Level -- Joachim Protze, Tim Cramer, Simon Convent, and Matthias S. Müller: OMPT-Multiplex: Nesting of OMPT Tools -- Marc Schlütter, Christian Feld, Pavel Saviankou, Michael Knobloch, Marc-André Hermanns, and Bernd Mohr: Score-P and Cube extensions for Intel Phi -- Isaías A. Comprés Ureña and Michael Gerndt: |
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Towards Elastic Resource Management -- Matthias Weber, Johannes Ziegenbalg, and Bert Wesarg: Online Performance Analysis with the Vampir Tool Set. |
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Sommario/riassunto |
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This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to discuss the latest advances in parallel tools, held September 11-12, 2017 in Dresden, Germany. High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools. |
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