8th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Denver, Vereinigte Staaten

Abbrevation

PMBS

Link

http://www.dcs.warwick.ac.uk/pmbs/pmbs/PMBS/Welcome.html

City

Denver

Country

United States

Deadline Paper

2017-08-25

Start Date

2017-11-13

End Date

2017-11-13

Abstract

The PMBS17 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. Topics of Interest We encourage submissions in the following areas: – Performance modeling, analysis, and prediction of applications and high–performance computing systems – Novel techniques and tools for performance evaluation and prediction – Advanced simulation techniques and tools – Micro–benchmarking, application benchmarking and tracing – Performance–driven code optimization and scalability analysis – Verification and validation of performance models – Benchmarking and performance analysis of novel hardware – Performance concerns in software/hardware co–design – Tuning and auto–tuning of HPC applications and algorithms – Benchmark suites – Performance visualisation – Real–world case studies – Studies of novel hardware such as Intel Xeon Phi co–processor technology, NVIDIA Kepler GPUs and AMD Fusion APU