Test Vector Extraction Methodology For Power Integrity Analysis

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/124128
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Type: Examensarbete för masterexamen
Master Thesis
Title: Test Vector Extraction Methodology For Power Integrity Analysis
Authors: Olsson, Martin
Abstract: In order to decrease performance pessimism due to supply voltage uncertainties in integrated circuits, detailed power integrity analysis is necessary. Knowing the worstcase voltage drop that the circuit will encounter is a step towards this goal. The voltage drop is input-dependent, which means the outcome depends on how the chip is used. In this thesis, methods to extract the worst-case clock cycle out of a microprocessor run-trace are developed. The methods considered are based on time-based power simulations, considering full-chip total power in several time-resolutions, frequency based approaches using FFT and wavelets, and the spatial locality of switching activity. SPICE voltage drop simulations are performed while considering R and L components of the power grid, as well as decoupling capacitance and the gate switching extracted from the run-trace. Results show that the voltage drops found when focusing on spatial locality exceed the previous worst-case for the chip design by a factor of 2. This method considers the worst-case power grid node, finding the time-instance where maximum power dissipation of its adjacent nodes coincides with the maximum power dissipation of the chip’s CPU core. Attempts at alleviating these sparse and localized large voltage drops are performed through the use of skew-spreading. This method is shown to decrease the largest voltage drop found by over 20%.
Keywords: Datorteknik;Computer Engineering
Issue Date: 2010
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/124128
Collection:Examensarbeten för masterexamen // Master Theses



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