Tools for High Performance Computing 2017 Proceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany için kapak resmi
Tools for High Performance Computing 2017 Proceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany
Başlık:
Tools for High Performance Computing 2017 Proceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany
Yazar:
Niethammer, Christoph. editor.
ISBN:
9783030119874
Edisyon:
1st ed. 2019.
Fiziksel Niteleme:
VII, 143 p. 117 illus., 68 illus. in color. online resource.
İçindekiler:
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.
Özet:
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.