Architects, administrators, and users of modern high-performance computing (HPC) systems strive to meet goals of energy, resource, and application efficiency. Optimizing for any or all of these can only be accomplished through analysis of appropriate system and application information. While application/performance profiling tools can provide insight into application performance issues, the profiling overhead typically decreases application performance. Thus these tools are typically used for application performance tuning but not for production application runs. Likewise traditional system monitoring tools in conjunction with analysis tools can provide insight into run-time system resource utilization and contention. However, due t­o overhead and impact concerns, system monitoring tools are often run with collection periods on order of minutes or only used to solve problems and not during normal HPC system operation. There are currently few, if any, tools that provide continuous, low impact, high fidelity system monitoring, analysis, and feedback that meet the increasingly urgent resource efficiency optimization needs of HPC systems.

The goal of HPCMASPA is to provide an opportunity to exchange new ideas, research, techniques, and tools in the areas of HPC monitoring, analysis, and feedback to increase application performance, optimize system resource utilization, and drive more efficient future HPC system design.