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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.
List of contents
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.
Summary
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.
