Title
Optimization of Driver Preemphasis for On-Chip Interconnects
Abstract
In modern digital systems, on-chip interconnects have become the system bottleneck, limiting the performance of high-speed clock distributions and data communications in terms of speed and power dissipation. An inverse signaling analysis is developed to optimize the driving signal waveforms for lossy interconnects. By specifying the performance parameters, i.e., the signal swing and edge rate of the interconnect output signal, the corresponding input signals can be derived analytically. The result can be used to guide and optimize the design of interconnect preemphasis drivers. Numerical examples are shown for both lossy RC and RLC distributed lines. Analysis shows that optimized driving voltage and current can increase the interconnect bandwidth without voltage overshoot at the output. The significance of an interconnect inductance is also evaluated with this technique.
Year
DOI
Venue
2009
10.1109/TCSI.2008.2011593
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Keywords
Field
DocType
performance parameter,lossy interconnects,driving signal waveforms,integrated circuit interconnections,signal processing,signal swing,on-chip interconnects,lossy transmission lines,lossy rc,transmission matrix,laplace transform,output signal,inverse laplace transform,inverse signaling analysis,driving signal waveform,two-port network,analysis shows,high-speed clock distributions,driver preemphasis,voltage overshoot,power series expansion,corresponding input signal,preemphasis,data communications,power dissipation,transmission line,chip,system on a chip,signal analysis,voltage,design optimization
Signal processing,Inductance,System on a chip,Interconnect bottleneck,Electronic engineering,Bandwidth (signal processing),Two-port network,Emphasis (telecommunications),Electrical engineering,RLC circuit,Mathematics
Journal
Volume
Issue
ISSN
56
9
1549-8328
Citations 
PageRank 
References 
4
0.60
11
Authors
2
Name
Order
Citations
PageRank
Yun Bai140.60
S. Simon Wong233240.81