As the continuous trend of Very Large Scale Integration (VLSI) circuits technology
scaling and frequency increases, delay optimization techniques for interconnect
are increasingly important for achieving timing closure of high performance designs.
For the gigahertz microprocessor and multi-million gate ASIC designs it is crucial to
have fast algorithms in the design automation tools for many classical problems in
the field to shorten time to market of the VLSI chip. This research presents algorithmic
techniques and constructive models for two such problems: (1) Fast buffer
insertion for delay optimization, (2) Wire sizing for delay optimization and variation
minimization on non-tree networks.
For the buffer insertion problem, this dissertation proposes several innovative
speedup techniques for different problem formulations and the realistic requirement.
For the basic buffer insertion problem, an O(n log2 n) optimal algorithm that runs
much faster than the previous classical van GinnekenÂs O(n2) algorithm is proposed,
where n is the number of buffer positions. For modern design libraries that contain
hundreds of buffers, this research also proposes an optimal algorithm in O(bn2) time
for b buffer types, a significant improvement over the previous O(b2n2) algorithm
by Lillis, Cheng and Lin. For nets with small numbers of sinks and large numbers
of buffer positions, a simple O(mn) optimal algorithm is proposed, where m is the
number of sinks. For the buffer insertion with minimum cost problem, the problem is first proved to be NP-complete. Then several optimal and approximation techniques
are proposed to further speed up the buffer insertion algorithm with resource control
for big industrial designs.
For the wire sizing problem, we propose a systematic method to size the wires of
general non-tree RC networks. The new method can be used for delay optimization
and variation reduction.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3250 |
| Date | 12 April 2006 |
| Creators | Li, Zhuo |
| Contributors | Shi, Weiping |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 679324 bytes, electronic, application/pdf, born digital |
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