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APPLICATION OF VHDL-AMS TO MODELING AND ASSESSMENT OF INTEGRATED CIRCUIT CLOCK DISTRIBUTION NETWORKS

by KANDULA, SIREESHA

Abstract (Summary)
In the past few decades, integrated circuit technology has been advancing rapidly. Clock distribution over an entire chip is a very complex problem and is one of the main challenges in the design of today’s high-performance processors. The performance and functionality of the entire system depends on the clock characteristics. For a VLSI circuit, an accurate model of the clock distribution network is helpful for the precise performance evaluation of the system [1]. It will be of great help to the circuit designers to model uncertainties in the clock signal arrival times between key points in a clock distribution network. In this thesis, we present an approach of using a mixed-signal Hardware Description Language (HDL) to model the characteristics of a clock distribution network. VHDL (Very High Speed Integrated Circuit HDL) is a widely used HDL for digital system modeling. For this research, an extension of VHDL called VHDL-AMS with Analog and Mixed Signal Modeling capabilities is used. A clock distribution network has components like Interconnects, Buffers, Phase Locked Loop, Source Oscillator, Delay locked loop, etc. In this research, a set of component models for Interconnects, Buffers and Phase locked loop are developed. Using these component models, a generic clock distribution network is modeled. Two case studies are considered for experimentation. In the first case, an H-Tree clock distribution network is modeled and the variation of skew across the levels of H-Tree is studied. In the second case, a regular pattern clock distribution network is modeled and the variation of skew for varying interconnect lengths, load capacitance and the number of stages in a regular pattern clock distribution network is analyzed. The results are also validated with SPICE.
Bibliographical Information:

Advisor:

School:University of Cincinnati

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:

ISBN:

Date of Publication:01/01/2005

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