Q-Tree: A New Iterative Improvement Approach for Buffered Interconnect Optimization

نویسندگان

  • Andrew B. Kahng
  • Bao Liu
چکیده

The “chicken-egg” dilemma between VLSI interconnect timing optimization and delay calculation suggests an iterative approach. We separate interconnect timing transformation as Hanan grafting and non-Hanan sliding, and reveal generally negligible contribution of non-Hanan sliding. We propose a greedy iterative interconnect timing optimization algorithm called Q-Tree. Our experimental results show that Q-Tree starting with Steiner minimum tree topologies achieves better timing performance than C-Tree [1], PER-Steiner [5] and BA-Tree [14] algorithms. Also, executing Q-Tree starting with BA-Tree or P-Tree [13] topologies can achieve better timing performance, especially, with shorter wires and fewer buffers. In general, Q-Tree can be applied to any interconnect tree for further timing performance improvement, with practical instance sizes and easily-extended functionality e.g., with buffer station and routing obstacle avoidance consideration.

منابع مشابه

An Iterative Approach for Delay-Bounded Minimum Steiner Tree Construction

This paper presents a delay-bounded minimum Steiner tree algorithm. The delay bounds, given as inputs to the algorithm, can be diierent for each individual source-sink connection. The approach is based on feasible search optimization that satisses the delay bounds rst, then improves the routing tree for the cost minimization. Iterative cut-and-link tree transformation constrained by delay bound...

متن کامل

AN ITERATIVE ALGORITHM FORDELAY - CONSTRAINED MINIMUM - COSTMULTICASTINGMehrdad

The bounded shortest multicast algorithm (BSMA) is presented for constructing minimum-cost multicast trees with delay constraints. BSMA can handle asymmetric link characteristics and variable delay bounds on destinations, speciied as real values and minimizes the total cost of a multicast routing tree. Instead of the single-pass tree construction approach used in most previous heuristics, the n...

متن کامل

New approach for attenuation correction in SPECT images, using linear optimization

Background: Photon attenuation as an inevitable physical phenomenon influences on the diagnostic information of SPECT images and results to errors in accuracy of quantitative measurements. This can be corrected via different physical or mathematical approaches. As the correction equation in mathematical approaches is nonlinear, in this study a new method of linearization called ‘Piece ...

متن کامل

Iterative algorithm for the generalized ‎$‎(P‎,‎Q)‎$‎-reflexive solution of a‎ ‎quaternion matrix equation with ‎$‎j‎$‎-conjugate of the unknowns

In the present paper‎, ‎we propose an iterative algorithm for‎ ‎solving the generalized $(P,Q)$-reflexive solution of the quaternion matrix‎ ‎equation $overset{u}{underset{l=1}{sum}}A_{l}XB_{l}+overset{v} ‎{underset{s=1}{sum}}C_{s}widetilde{X}D_{s}=F$‎. ‎By this iterative algorithm‎, ‎the solvability of the problem can be determined automatically‎. ‎When the‎ ‎matrix equation is consistent over...

متن کامل

A New Iterative Neural Based Method to Spot Price Forecasting

Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

متن کامل
عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003