Many application codes running on high performance computing platforms are characterized by their high resource use (nodes, storage, I/O) and their often long run-times. This resource usage leads to high cost, especially when those resources are based in the cloud. Therefore it is important to use the resources efficiently - both to reduce costs and to deliver timely results. Also, application performance is dependent on effective selection and configuration of HPC platforms that suit the application. All of these considerations make it important to have tools and techniques to measure and analyze performance of HPC applications and platforms. This session invites papers on all aspects of this topic, including benchmark suites, tools for performance analysis, performance analysis and benchmarking case studies, and use of these tools and techniques to select HPC platforms and to optimize applications.