HPBench 2019 - 6th Special Session on High Performance Computing Benchmarking and Optimization (HPBench 2019)

Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems.
With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems.
This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought.
The HPBench topics include (but are not limited to) the following:
Open Platforms for Parallel and Distributed Application Benchmarking and Optimization
Benchmarking on the Cloud
Benchmarking of Clusters, Supercomputers, and large-scale systems
Benchmarking the Performance of I/O
Benchmarking of Energy and Energy Efficiency
Benchmarking Web Services
Virtualization for Distributed Benchmarking
Data Distribution for Benchmarking
Performance results of benchmarks on modern platforms
Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems
Benchmarking of Parallel Scientific and Business Applications
Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
Techniques, frameworks and results concerning the benchmarking of library packages
Tools and frameworks for performance modeling systems and applications
Tools and frameworks for simulation, measurement and monitoring
Performance Measurements, Monitoring, Modeling and Simulation
Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike)
Mathematical Foundations of Benchmarking, Metrics and Heuristics