Runtime Systems for Energy Efficiency in Advanced Computing Systems

Technical Report · Wed Sep 21 04:00:00 EDT 2022

DOI:https://doi.org/10.2172/1888152· OSTI ID:1888152

Madsen, Curtis ^[1]; Ma, Tian J. ^[1]; Mukherjee, Dipayan ^[2]; Agha, Gul ^[2]

---

1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
2. Univ. of Illinois at Urbana-Champaign, IL (United States)

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.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: NA0003525
• OSTI ID: 1888152
• Report Number(s): SAND2022-12636; 709957
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING