Euro-Par 2006 Logo
Title:Euro-Par 2006 in Dresden, Germany; Picture of Dresden: DWT/Dittrich
Performance Prediction and Evaluation

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Parallel computing enables solutions to computational problems that are impossible on sequential systems due to their limited performance. To meet this objective, it is critical that users can both measure performance on a given system and predict the performance for other systems. Authors are invited to submit papers presenting all fields of performance modeling, evaluation, prediction, measurement, benchmarking, and visualization for parallel and distributed applications and architectures. This workshop covers all aspects of techniques, implementations, tools, standardization efforts, and characterization and performance-oriented development of distributed and parallel applications. Of particular interest are tools and systems that work with large-scale applications or large numbers (hundreds to thousands) of processors. In addition, approaches to understand memory system performance and storage system performance are encouraged.


  • instrumentation for measurement and prediction
  • scalable performance prediction models and techniques
  • measurement and modelling of grid middleware & applications
  • performance data analysis and visualization
  • evaluation and benchmarking
  • system and hardware monitoring
  • performance of different programming models
  • case studies involving tuning of real applications
  • automatic performance analysis
  • modeling, analysis, and tuning of emerging architectures

Global Chair

Local Chair

Prof. Dr. Jesús Labarta
University of Barcelona (UPC)
Barcelona Supercomputing Center (BSC)
Barcelona, Spain
Dr. Bernd Mohr
Forschungszentrum Jülich, ZAM
Jülich, Germany

Vice Chair

Local Chair

Dr. Allan Snavely
Performance Modeling and
Characterization (PMaC) Lab
San Diego Supercomputer Center La Jolla,
California, USA
Dr. Jeffrey Vetter
Oak Ridge National Laboratory
Oak Ridge, Tennessy, USA