Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Static Crosstalk-Noise Analysis: For Deep Sub-Micron Digital Designs (Repost)

    Posted By: Specialselection
    Static Crosstalk-Noise Analysis: For Deep Sub-Micron Digital Designs (Repost)

    Pinhong Chen, Desmond A. Kirkpatrick, Kurt Keutzer, "Static Crosstalk-Noise Analysis: For Deep Sub-Micron Digital Designs (Solid Mechanics and Its Applications)"
    English | 2004-07-07 | ISBN: 1402080913 | 126 pages | PDF | 6.4 mb

    As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, static timing analysis tools have ignored cross coupling effects between wires altogether. Newer tools simply approximate the coupling capacitance by a 2X Miller factor in order to compute the worst case delay. The latter approach not only reduces delay calculation accuracy, but can also be shown to underestimate the delay in certain scenarios. This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including: -Spatial pruning - reducing aggressors to those in physical proximity, -Electrical pruning - reducing aggressors by electrical strength, -Temporal pruning - reducing aggressors using timing windows, -Functional pruning - reducing aggressors by Boolean functional analysis.