It takes the average reader 3 hours and 29 minutes to read Novel Algorithms for Fast Statistical Analysis of Scaled Circuits by Amith Singhee
Assuming a reading speed of 250 words per minute. Learn more
As VLSI technology moves to the nanometer scale for transistor feature sizes, the impact of manufacturing imperfections result in large variations in the circuit performance. Traditional CAD tools are not well-equipped to handle this scenario, since they do not model this statistical nature of the circuit parameters and performances, or if they do, the existing techniques tend to be over-simplified or intractably slow. Novel Algorithms for Fast Statistical Analysis of Scaled Circuits draws upon ideas for attacking parallel problems in other technical fields, such as computational finance, machine learning and actuarial risk, and synthesizes them with innovative attacks for the problem domain of integrated circuits. The result is a set of novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime.
Novel Algorithms for Fast Statistical Analysis of Scaled Circuits by Amith Singhee is 205 pages long, and a total of 52,275 words.
This makes it 69% the length of the average book. It also has 64% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 45 minutes to read Novel Algorithms for Fast Statistical Analysis of Scaled Circuits aloud.
Novel Algorithms for Fast Statistical Analysis of Scaled Circuits is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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