A Power Delivery Network and Cell Placement Aware Dynamic IR Mitigation Technique: Harvesting Unused Timing Slacks to Schedule Useful Skews
dc.contributor.advisor | Sasan, Avesta | |
dc.contributor.author | Bhamidipati, Lakshmi Saraswati | |
dc.creator | Bhamidipati, Lakshmi Saraswhati | |
dc.date | 2016-12-02 | |
dc.date.accessioned | 2017-10-03T17:19:50Z | |
dc.date.available | 2017-10-03T17:19:50Z | |
dc.description.abstract | To prevent setup and hold failures during the operation of a chip, different sources of on chip variability need to be modeled and margined during the physical design. One of the sources of the variability is dynamic IR drop and cycle to cycle voltage variation. The excessive IR drop or large cycle to cycle voltage variation could cause various forms of timing failure. In this thesis, we present a novel technique for reducing the dynamic IR-drop by leveraging available timing slacks and scheduling useful skews. Unlike previous work, which is focused on reducing the peak current, we breakdown the peak current minimization problem into many smaller problems of reducing the intensity of individual hot spots. In addition to timing information, the power delivery network, floorplan, and cell placement information are considered while scheduling the clock arrival times. This technique reduces the peak dynamic IR-drop by ~50%, peak current by ~30% and cycle to cycle voltage variation by more than 30%. | |
dc.identifier | doi:10.13021/G87H67 | |
dc.identifier.uri | https://hdl.handle.net/1920/10723 | |
dc.language.iso | en | |
dc.subject | IR drop | |
dc.subject | Voltage drop | |
dc.subject | VLSI design | |
dc.subject | Peak current minimization | |
dc.subject | Clock skew scheduling | |
dc.subject | Power and signal integrity | |
dc.subject | ASIC and physical design | |
dc.title | A Power Delivery Network and Cell Placement Aware Dynamic IR Mitigation Technique: Harvesting Unused Timing Slacks to Schedule Useful Skews | |
dc.type | Thesis | |
thesis.degree.discipline | Electrical Engineering | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Master's | |
thesis.degree.name | Master of Science in Electrical Engineering |