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Boosting Power Efficiency of HPC Applications with GEOPM
Performance Analysis and Optimization
System Software & Runtime Systems
DescriptionPower and energy are critical Exascale constraints. Achieving system efficiency is a challenge under such constraints due to dynamic application phase behavior, increasing variation in processor power efficiency resulting from manufacturing, and due to complexities arising from upcoming heterogeneous architectures. In order to address some of these challenges, Intel introduced GEOPM, an open-source, portable, hierarchical job-level runtime system to optimize for time-to-solution by leveraging techniques from learning and control systems. Other processor architectures like IBM POWER and ARM have recognized the value of GEOPM, and are currently working to add their specific processor support. In this hands-on, half-day tutorial, we will discuss the state-of-the-art power management techniques used by Intel, IBM, and ARM, and discuss GEOPM features and usability. A high-level overview of the GEOPM architecture, a walkthrough of the GEOPM plugin infrastructure, and use cases will be discussed. Third-party plugins developed as part of Exascale Computing Project’s GEOPM plugins will also be demoed. Algorithms used to speed up application critical path (through adaptive configuration selection) and mitigate process variation (through intelligent power management) will be discussed. State-of-the-art and best practices for leveraging power management techniques in modern processors will also be covered.