Tools for High Performance Computing 2009

1. Front Matter

   Pages I-XIV

   PDF

2. PERISCOPE: An Online-Based Distributed Performance Analysis Tool

   • Shajulin Benedict, Ventsislav Petkov, Michael Gerndt

   Pages 1-16

3. Comprehensive Performance Tracking with Vampir 7

   • Holger Brunst, Daniel Hackenberg, Guido Juckeland, Heide Rohling

   Pages 17-29

4. Performance Analysis and Workload Characterization with IPM

   • Karl Fürlinger, Nicholas J. Wright, David Skinner

   Pages 31-38

5. Recent Developments in the Scalasca Toolset

   • Markus Geimer, Felix Wolf, Brian J.  N. Wylie, Daniel Becker, David Böhme, Wolfgang Frings et al.

   Pages 39-51

6. MUST: A Scalable Approach to Runtime Error Detection in MPI Programs

   • Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller

   Pages 53-66

7. HPC Profiling with the Sun Studio™ Performance Tools

   • Marty Itzkowitz, Yukon Maruyama

   Pages 67-93

8. Performance Tuning of x86 OpenMP Codes with MAQAO

   • Denis Barthou, Andres Charif Rubial, William Jalby, Souad Koliai, Cédric Valensi

   Pages 95-113

9. Scalable Parallel Debugging with g-Eclipse

   • Thomas Köckerbauer, Christof Klausecker, Dieter Kranzlmüller

   Pages 115-123

10. New Analysis Techniques in the CEPBA-Tools Environment

    • Jesus Labarta

    Pages 125-143

11. The Importance of Run-Time Error Detection

    • Glenn R. Luecke, James Coyle, James Hoekstra, Marina Kraeva, Ying Xu, Mi-Young Park et al.

    Pages 145-155

12. Collecting Performance Data with PAPI-C

    • Dan Terpstra, Heike Jagode, Haihang You, Jack Dongarra

    Pages 157-173

13. ISP Tool Update: Scalable MPI Verification

    • Anh Vo, Sarvani Vakkalanka, Ganesh Gopalakrishnan

    Pages 175-184

As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.

• Computer
• Hardware
• OpenMP
• calculus
• development tools for high performance computing
• parallel debugging
• parallel performance analysis
• programming
• support infrastructure for parallel and high performance com
• verification
• complexity

• Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH), TU Dresden, Dresden, Germany

  Matthias S. Müller, Wolfgang E. Nagel

• Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

  Michael M. Resch, Alexander Schulz

Policies and ethics