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Copyright by William Lloyd Bircher 2010 - The Laboratory for ...

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Core Power<br />

power is dominated <strong>by</strong> leakage power since active power is low. Leakage power is<br />

mostly affected <strong>by</strong> p-state changes. Fluctuations in IPC occur at much shorter durations<br />

(100s ns) than p-state changes (100s ms). <strong>The</strong>re<strong>for</strong>e, stable power consumption levels<br />

are less likely as the number of active cores increases.<br />

60W<br />

50W<br />

40W<br />

30W<br />

20W<br />

10W<br />

0W<br />

-10W<br />

4.3 Summary<br />

Phases due<br />

to 10ms<br />

scheduling 11%<br />

quanta 15%<br />

9%<br />

10%<br />

7%<br />

11%<br />

17% 28% 13%<br />

8%<br />

21%<br />

12%<br />

9%<br />

64%<br />

Figure 4.9 Core Power Phases – SYSmark 2007<br />

This section characterizes power consumption in modern server and desktop computing<br />

systems. <strong>The</strong> characterization demonstrates the relationship between the power<br />

consumption of various subsystems and workloads. Popular computational workloads<br />

such as SPEC CPU are shown to generate power variation in the processor and memory<br />

subsystems, but not in the remainder of subsystems. By comparing power variation in a<br />

server system with little power management to a recent desktop system with extensive<br />

62<br />

Active<br />

Program<br />

Phases<br />

35%<br />

12% 8%<br />

12% 17% 11% 22%<br />

1 10 100 1,000 10,000<br />

Phase Duration (ms)<br />

3D<br />

E-Learning<br />

Productivity<br />

Video Creation<br />

Relative size<br />

correspond to %<br />

samples in group<br />

Idle Phases

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