info
wazowski936@gmail.com uk1234567
http://www.inf.ed.ac.uk/systems/tex/local-packages.html
教授給回應了了 他說
Results and Evaluation章節要包含：
Experimental setup
Dataset or applications
Metrics
Results
Until recently, the development of computing is to maximize CPUs’ clock frequency in order to squeeze out
more operations per second. But in mid-2000s, this approach hit the power wall. Since CPUs become more
powerful than ever, the consumption of energy increases tremendously and the heat production also raises
rapidly. With the widespread use of mobile devices, the consumption of energy turns out to be an essential
issue. Besides, there are plenty large-scale applications require computational resources that have far
exceeded the resources that can be provided. Therefore, we have to find a promising solution to overcome
the problem, and here comes Approximate Computing – trade-off between accuracy and efficiency to
acquire a reasonable performance. Approximate Computing makes computations closer to human-like
computational computations. For instance, when people being asked to do complex arithmetic and they do
not have calculators in hand, they usually will give an approximate answer rather than an exact answer.
This is the way our brains try to save ourselves energy, and we can learn from it to implement some
Approximate Computing strategies.
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