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 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 bringing together current theory and practice.
 
Focus
* 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 models
* Performance visualization 

Topic Committee
   
Global Chair
Stephen Jarvis Warwick University, United Kingdom   

Local Chair
Massimo Coppola ISTI-CNR, Italy 

Members
Junwei Cao Tsinghua University, China
Darren Kerbyson Los Alamos National Laboratory, USA