Tools for High Performance Computing 2014: Proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany

✍ Scribed by Christoph Niethammer, José Gracia, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagel (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 235
• Edition: 1
• Category: Library

✦ Synopsis

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. This book represents the proceedings of the 8^th International Parallel Tools Workshop, held October 1-2, 2014 in Stuttgart, Germany – which is a forum to discuss the latest advancements in the parallel tools.

✦ Table of Contents

Front Matter....Pages i-x
Scalasca v2: Back to the Future....Pages 1-24
Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead....Pages 25-35
DiscoPoP: A Profiling Tool to Identify Parallelization Opportunities....Pages 37-54
Tareador: The Unbearable Lightness of Exploring Parallelism....Pages 55-79
Tuning Plugin Development for the Periscope Tuning Framework....Pages 81-121
Combining Instrumentation and Sampling for Trace-Based Application Performance Analysis....Pages 123-136
Ocelotl: Large Trace Overviews Based on Multidimensional Data Aggregation....Pages 137-160
Integrating Critical-Blame Analysis for Heterogeneous Applications into the Score-P Workflow....Pages 161-173
Studying Performance Changes with Tracking Analysis....Pages 175-209
A Flexible Data Model to Support Multi-domain Performance Analysis....Pages 211-229

✦ Subjects

Computational Science and Engineering; System Performance and Evaluation; Computer Applications