Modern processors and operating systems being used in HPC systems expose a wealth of information about how system resources are being utilized. Lightweight tools that gather and analyze this information could provide feedback, including run-time, to increase application performance; optimize system resource utilization; and drive more efficient future HPC system design.
The goal of HPCMASPA is to provide an opportunity for researchers, system administrators, and users to exchange new ideas, research, techniques, and tools in the area of HPC monitoring, analysis, and feedback as it relates to increasing understanding and efficiency with respect to resource utilization, energy, operations, and application run-time.
Submission Categories (All dates AOE): EXTENDED DEADLINES!
Full technical papers (8 pages + 2 reference-only pages):
Full paper Abstract Deadline: Jun 19WAIVEDFull papers due:
Jun 26Jul 6Full paper acceptance Notification:
Jul17Jul 20
Short and Work in Progress papers (4 pages + 1 reference-only page). At least one session will be dedicated to Short/WIP papers encouraging interactive audience discussion
Short papers due:
Jul 24Jul 27Short paper acceptance:
Jul 31Aug 3Camera-ready deadline:
Aug 14, 2020
Topics
Including but not limited to:
Data collection, transport, and storage
Analysis of large-scale data and system information
Response to and utilization of analysis results and insights
Experience reports and system operations
Panel
HPCMASPA 2020 will also hold an panel on the special topic: Enabling Machine Learning approaches to HPC Systems Operations.