Topic 02: Performance Prediction and Evaluation


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 modeling of large-scale parallel and distributed applications and systems (e.g., Grids, cloud computing environments, multi-core architectures). Authors are invited to submit novel research in all areas of performance prediction and evaluation, and to help bring together current theory and practice.


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

Topic Committee

Global chair

Shirley Moore, University of Tennessee, USA

Local chair

Derrick Kondo, INRIA, France


Giuliano Casale, Imperial College London, UK
Brian Wylie, Jülich Supercomputing Centre, Germany