Tools for High Performance Computing

1. Front Matter

   Pages i-xi

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2. Integrated Development Environments

   1. Front Matter

      Pages 1-1

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   2. Sun HPC ClusterTools™ 7+: A Binary Distribution of Open MPI

      • Terry Dontje, Don Kerr, Daniel Lacher, Pak Lui, Ethan Mallove, Karen Norteman et al.

      Pages 3-18

   3. An Integrated Environment For the Development of Parallel Applications

      • Gregory R. Watson, Craig E. Rasmussen

      Pages 19-34

   4. Debugging MPI Programs on the Grid using g-Eclipse

      • Christof Klausecker, Thomas Köckerbauer, Robert Preissl, Dieter Kranzlmüller

      Pages 35-45

3. Parallel Communication and Debugging

   1. Front Matter

      Pages 47-47

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   2. Enhanced Memory debugging of MPI-parallel Applications in Open MPI

      • Shiqing Fan, Rainer Keller, Michael Resch

      Pages 49-60

   3. MPI Correctness Checking with Marmot

      • Bettina Krammer, Tobias Hilbrich, Valentin Himmler, Blasius Czink, Kiril Dichev, Matthias S. Müller

      Pages 61-78

   4. Memory Debugging in Parallel and Distributed Applications

      • Chris Gottbrath

      Pages 79-90

4. Performance Analysis Tools

   1. Front Matter

      Pages 91-91

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   2. Sequential Performance Analysis with Callgrind and KCachegrind

      • Josef Weidendorfer

      Pages 93-113

   3. Improving Cache Utilization Using Acumem VPE

      • Erik Hagersten, Mats Nilsson, Magnus Vesterlund

      Pages 115-135

5. Parallel Performance Analysis Tools

   1. Front Matter

      Pages 137-137

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   2. The Vampir Performance Analysis Tool-Set

      • Andreas Knüpfer, Holger Brunst, Jens Doleschal, Matthias Jurenz, Matthias Lieber, Holger Mickler et al.

      Pages 139-155

   3. Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications

      • Felix Wolf, Brian J. N. Wylie, Erika Ábrahám, Daniel Becker, Wolfgang Frings, Karl Fürlinger et al.

      Pages 157-167

   4. Evolution of a Parallel Performance System

      • Allen D. Malony, Sameer Shende, Alan Morris, Scott Biersdorff, Wyatt Spear, Kevin Huck et al.

      Pages 169-190

   5. Cray Performance Analysis Tools

      • Luiz DeRose, Bill Homer, Dean Johnson, Steve Kaufmann, Heidi Poxon

      Pages 191-199

6. Back Matter

   Pages 201-202

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Developing software for current and especially for future architectures will require knowledge about parallel programming techniques of applications and library p- grammers. Multi-core processors are already available today, and processors with a dozen and more cores are on the horizon. The major driving force in hardware development, the game industry, has - ready shown interest in using parallel programming paradigms, such as OpenMP for further developments. Therefore developers have to be supported in the even more complex task of programming for these new architectures. HLRS has a long-lasting tradition of providing its user community with the most up-to-date software tools. Additionally, important research and development projects are worked on at the center: among the software packages developed are the MPI correctness checker Marmot, the OpenMP validation suite and the M- implementations PACX-MPI and Open MPI. All of these software packages are - ing extended in the context of German and European community research projects, such as ParMA, the InterActive European Grid (I2G) project and the German C- laborative Research Center (Sonderforschungsbereich 716). Furthermore, ind- trial collaborations, i.e. with Intel and Microsoft allow HLRS to get its software production-grade ready. In April 2007, a European project on Parallel Programming for Multi-core - chitectures, in short ParMA was launched, with a major focus on providing and developing tools for parallel programming.

• Cluster
• Debugging
• Desktop
• Eclipse
• Scala
• calculus
• communication
• development tools for high performance compting
• linear optimization
• object oriented design
• parallel debugging
• parallel performance analysis
• programming
• support infrastructure for parallel and high performance com
• complexity

• Höchstleistungsrechenzentrum Stuttgart (HLRS), Stuttgart, Germany

  Michael Resch, Rainer Keller, Valentin Himmler, Bettina Krammer, Alexander Schulz

Policies and ethics