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Multi-objective power management for CMPs in the dark silicon age

Rahmani, A. M. (author)
Haghbayan, M. -H (author)
Liljeberg, P. (author)
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Jantsch, A. (author)
Tenhunen, Hannu (author)
KTH,Integrerade komponenter och kretsar
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 (creator_code:org_t)
2017-01-01
2017
English.
In: The Dark Side of Silicon. - Cham : Springer. - 9783319315966 - 9783319315942 ; , s. 191-216
  • Book chapter (peer-reviewed)
Abstract Subject headings
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  • New power management challenges in networked many-core systems arise when limitations of the dark silicon era come into reality. The main goal in the power management process is to achieve optimal power-performance efficiency considering thermal design power (TDP) budget. This necessitates: (1) monitoring several system characteristics including both communication and computation aspects, (2) categorizing, prioritizing, and processing the information in an intelligent way, and (3) controlling a rich set of actuators. More precisely, a comprehensive Observe-Decide-Act (ODA) loop based multi-objective control approach is needed, which has access to a rich set of sensors and actuators. In this chapter, we first identify a necessary set of system parameters for monitoring such as an upper limit on total power consumption, dynamic behavior of workloads, utilization of processing elements, per-core power consumption, load on network-on-chip (NoC), etc. We also discuss essential actuators needed for the power management process together with a multi-objective and dark silicon aware power management policy that is able to simultaneously consider all the mentioned parameters. As actuator, fine-grained voltage and frequency scaling is utilized, including near-threshold operation, per-core power gating, as well as scheduler-level actuation to maximize the system throughput while honoring the power budget.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)

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