Автор: Christoph Niethammer
Название: Tools for High Performance Computing 2014: Proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany
Издательство: Springer
Год: 2015
ISBN: 9783319160115 / 3319160117
Язык: English
Формат: pdf
Размер: 10,3 mb
Страниц: 229
Numerical simulation and modelling using High Performance Computing has evolved into an established technique in academic and industrial research. At the same time, the High Performance Computing infrastructure is becoming ever more complex. For instance, most of the current top systems around the world use thousands of nodes in which classical CPUs are combined with accelerator cards in order to enhance their compute power and energy efficiency. This complexity can only be mastered with adequate development and optimization tools. Key topics addressed by these tools include parallelization on heterogeneous systems, performance optimization for CPUs and accelerators, debugging of increasingly complex scientific applications, and optimization of energy usage in the spirit of green IT.
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Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead
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DiscoPoP: A Profiling Tool to Identify Parallelization Opportunities
Zhen Li, Rohit Atre, Zia Ul-Huda, Ali Jannesari, and Felix Wolf
Tareador: The Unbearable Lightness of Exploring Parallelism
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Tuning Plugin Development for the Periscope Tuning Framework
Isa?as A. Compr?s Ure?a and Michael Gerndt
Combining Instrumentation and Sampling for Trace-Based Application Performance Analysis
Thomas Ilsche, Joseph Schuchart, Robert Sch?ne, and Daniel Hackenberg
Ocelotl: Large Trace Overviews Based on Multidimensional Data Aggregation
Damien Dosimont, Youenn Corre, Lucas Mello Schnorr, Guillaume Huard, and Jean-Marc Vincent
Integrating Critical-Blame Analysis for Heterogeneous Applications into the Score-PWorkflow
Felix Schmitt, Robert Dietrich, and Jonas Stolle
Studying Performance Changes with Tracking Analysis
Germ?n Llort, Harald Servat, Juan Gonzalez, Judit Gimenez, and Jes?s Labarta
A Flexible Data Model to Support Multi-domain Performance Analysis
Martin Schulz, Abhinav Bhatele, David B?hme, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez, and Kate Isaacs
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Tools for High Performance Computing 2014: Proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany 
