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DOE OSTI · 1888152

Runtime Systems for Energy Efficiency in Advanced Computing Systems

Madsen, Curtis·Ma, Tian J.·Mukherjee, Dipayan·Agha, Gul
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Abstract

As heterogeneous systems become increasingly popular for both mobile and high-performance computing, conventional efficiency techniques such as dynamic voltage and frequency scaling (DVFS) fail to account for the tightly coupled and varied nature of systems on a chip (SoCs). In this work, we explore the impact of system unaware DVFS techniques on a mobile SoC under three benchmark suites: Chai, Rodinia, and Antutu. We then analyze performance trends across the suites to identify a set of consistent operating points that optimally balance power and performance across the system. The consistent operating points are then constructed into a dependency graph which can be leveraged to produce a more effective, SoC-wide governor.

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97 MATHEMATICS AND COMPUTING

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Madsen, Curtis, Ma, Tian J., Mukherjee, Dipayan, Agha, Gul. 2022-09-21. Runtime Systems for Energy Efficiency in Advanced Computing Systems. https://doi.org/10.2172/1888152

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