HPCMASPA 2017 is a full day workshop held in conjunction with IEEE Cluster on Sept 5, 2017.
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.
Submission Categories (All dates AOE)
1. Technical Papers: Full (8 page) and Short (4 page)
Abstracts: May 21 May 30 extended Papers: May 28 June 5 extended Notification: Jun 28 Camera Ready: Aug 2
2. Work in Progress Papers: (4 page).
At least one session will be dedicated to WIP papers encouraging interactive audience discussion.
Submissions Open: Jun 28 Papers: Jul 9 Jul 10 extended Notification: Jul 19 Camera Ready: Aug 2
In 2017, we encourage submissions on the:
- Special Topic of Monitoring and Measurements in Experiments
In addition to the general areas, including but not limited to:
- Data collection, transport, and storage
- Analysis of large-scale data and system information
- Response to and utilization of processed data and system information
- Experience reports and system operations