CSE 591: Energy-Efficient Computing Lecture 18 SPEED: power

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Presentation transcript:

CSE 591: Energy-Efficient Computing Lecture 18 SPEED: power Anshul Gandhi 347, CS building anshul@cs.stonybrook.edu

Recap DFS: Dynamic Frequency Scaling DFS “linear” P = system power Frequency (GHz) (server speed) DFS “linear” P = system power NOT processor power Power (Watts)

How power affects server speed for a single server Recap How power affects server speed for a single server DVFS DVFS +DFS Frequency (GHz) “LINPACK” CPU BOUND DFS Frequency (GHz) Frequency (GHz) Power (Watts) Power (Watts) Power (Watts) DVFS DVFS +DFS Frequency (GHz) DFS “STREAM” MEM BOUND Frequency (GHz) Frequency (GHz) Power (Watts) Power (Watts) Power (Watts)

power_capping paper

Power vs. Performance Label power = 308W

Ad-hoc controller

Proposed controller

Stable results

Performance impact Open loop: statically select a P state that ensures power budget Ad hoc: too much fluctuations, so xput is low P controller: stable, less fluctuations, so more useful work time

Power shifting Allowing even 1W of extra budget to server can improve performance For rack power budget, power budget can be “stolen” from low priority servers to give additional power budget to high priority servers Power shifting

power_modeling paper

Power breakdown

Power measurement Directly from hardware or sensors Via simulations Via power modeling Model should be able to provide component- level power consumption

Power model

Power model

Power model

Applications of power models Server-specific power profiles Resource bottleneck identification Selective fan cooling Temperature proxy Electricity cost proxy