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＜電子ブック＞
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

版	1st ed. 2019.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2019
大きさ	VII, 143 p. 117 illus., 68 illus. in color : online resource
著者標目	Niethammer, Christoph editor Resch, Michael M editor Nagel, Wolfgang E editor Brunst, Holger editor Mix, Hartmut editor SpringerLink (Online service)
件　名	LCSH:Mathematics—Data processing LCSH:Computers LCSH:Computer programming FREE:Computational Science and Engineering FREE:Hardware Performance and Reliability FREE:Programming Techniques
一般注記	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: Towards Elastic Resource Management -- Matthias Weber, Johannes Ziegenbalg, and Bert Wesarg: Online Performance Analysis with the Vampir Tool Set 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 HTTP:URL=https://doi.org/10.1007/978-3-030-11987-4

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