Topic 2: Performance Prediction and Evaluation

Description

In recent years a range of novel methodologies and tools have been developed for the purpose of evaluation, design, and model reduction of existing and emerging parallel and distributed systems.  At the same time, the coverage of the term 'performance' has constantly broadened to include reliability, robustness, energy consumption, and scalability in addition to classical performance-oriented evaluations of system functionalities.

The aim of Topic 2, "Performance Prediction and Evaluation", is to bring together system designers and researchers involved with the qualitative and quantitative evaluation and modelling of large-scale parallel and distributed applications and systems (e.g., Grids, cloud computing environments, multi-core and hybrid architectures, extreme-scale platforms). Authors are invited to submit novel research in all areas of performance prediction and evaluation, and to help bring together current theory and practice.

Focus

  • Performance modelling, analysis, and prediction for applications and large-scale systems¬† (e.g., Grids, cloud computing environments, multi-core and hybrid architectures, extreme-scale platforms)
  • Novel techniques and tools for performance evaluation and prediction
  • Advanced simulation techniques and tools
  • Measurements, benchmarking, and tracing
  • Workload modelling
  • Performance-driven code optimization
  • Verification and validation of performance models
  • Performance visualization
  • Power consumption modelling and prediction
  • Performance modelling, simulation and evaluation of future Exascale systems

Topic Committee

Global Chair
Alexey Lastovetsky, University College Dublin, Ireland

Local Chair
Francisco F. Rivera, University of Santiago de Compostela, Spain

Further Members
David E. Singh, University Carlos III de Madrid, Spain
Dimitrios S. Nikolopoulos, Queen's University of Belfast, UK
Leonel Sousa, IST-University of Lisbon, Portugal
Petr Tuma, Charles University, Czech Republic
Wolfgang Nagel, TU Dresden, Germany