This workshop is concerned with the comparison of high-performance computing systems through performance modeling, benchmarking or through the use of tools such as simulators.

We are particularly interested in research which reports the ability to measure and make tradeoffs in software/hardware co-design to improve sustained application performance. We are also keen to capture the assessment of future systems, for example through work that ensures continued application scalability through peta- and exa-scale systems.

The aim of this workshop is to bring together researchers, from industry and academia, concerned with the qualitative and quantitative evaluation and modeling of high-performance computing systems. Authors are invited to submit novel research in all areas of performance modeling, benchmarking and simulation, and we welcome research that brings together current theory and practice. We recognize that the coverage of the term 'performance' has broadened to include power consumption and reliability, and that performance modeling is practiced through analytical methods and approaches based on software tools and simulators.

Workshop Focus:

We encourage submissions in the following areas

1. -Performance modeling, analysis, and prediction of applications and high-performance computing systems
   

2. -Novel techniques and tools for performance evaluation and prediction
   

3. -Advanced simulation techniques and tools
   

4. -Micro-benchmarking, application benchmarking and tracing
   

5. -Performance-driven code optimization, scalability analysis
   

6. -Verification and validation of performance models
   

7. -Benchmarking and performance analysis of novel hardware
   

8. -Performance concerns in software/hardware co-design
   

9. -Tuning and auto-tuning of HPC applications and algorithms
   

10. -Benchmark suites
    

11. -Performance visualization
    

12. -Real-world case studies
    
    

Work which examines related topics will also be considered.

Paper Submissions:

Submissions should be original, unpublished work which is no longer than 8-pages in length and formatted to the ACM style template. See submission guidelines here.

All accepted papers will be published in a special issue of the ACM Performance Evaluation Review. Authors of accepted papers grant ACM permission to publish them in print and in digital formats.

Selected authors will also be invited to submit extended work for inclusion in special editions of The Computer Journal and IEEE Computer Architecture Letters.