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Idle is a state that a computer processor is in when it is not being used by any program. Every program or task that runs on a computer system occupies a certain amount of processing time on the CPU. If the CPU has completed all tasks it is idle. Modern processors use idle time to save power.
However, the idle process does not use up computer resources (even when stated to be running at a high percent). Its CPU time "usage" is a measure of how much CPU time is not being used by other threads. In Windows 2000 and later the threads in the System Idle Process are also used to implement CPU power saving.
The largest power consuming subsystems in computer servers are the processor, memory and disk. Servers also have idle energy consumption which sometimes can be large, but it is static and it can be measured. Power models are presented for each of subsystems CPU, memory and disk in reference [18] in detail. This power model is the core technique ...
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The power measurement is often the average power used while running the benchmark, but other measures of power usage may be employed (e.g. peak power, idle power). For example, the early UNIVAC I computer performed approximately 0.015 operations per watt-second (performing 1,905 operations per second (OPS), while consuming 125 kW).
An idle computer has a load number of 0 (the idle process is not counted). Each process using or waiting for CPU (the ready queue or run queue) increments the load number by 1. Each process that terminates decrements it by 1. Most UNIX systems count only processes in the running (on CPU) or runnable (waiting for CPU) states.
typical thermal power, which is measured under normal load (for instance, AMD's average CPU power) maximum thermal power, which is measured under a worst-case load; For example, the Pentium 4 2.8 GHz has a 68.4 W typical thermal power and 85 W maximum thermal power. When the CPU is idle, it will draw far less than the typical thermal power.
5.152×10 12: S2050/S2070 1U GPU Computing System from Nvidia; 11.3×10 12: GeForce GTX 1080 Ti in 2017; 13.7×10 12: Radeon RX Vega 64 in 2017; 15.0×10 12: Nvidia Titan V in 2017; 80×10 12: IBM Watson [5] 170×10 12: Nvidia DGX-1 The initial Pascal based DGX-1 delivered 170 teraflops of half precision processing. [6] 478.2×10 12 IBM ...