We present critical-sink routing tree (CSRT) constructions which exploit available critical-path information to yield high-performance routing trees. Our CS-Steiner and "global slack removal" algorithms together modify traditional Steiner tree constructions to optimize signal delay at identified critical sinks. We further propose an iterative Elmore routing tree (ERT) construction which optimizes Elmore delay directly, as opposed to heuristically abstracting linear or Elmore delay as in previous approaches. Extensive timing simulations on industry IC and MCM interconnect parameters show that our methods yield trees that significantly improve (by averages of up to 67 %) over minimum Steiner routings in terms of delays to identified critical sinks. ERT's also serve as generic high-performance routing trees when no critical sink is specified: for 8-sink nets in standard IC (MCM) technology, we improve average sink delay by 19% (62%) and maximum sink delay by 22% (52%) over the minimum Steiner routing. These approaches provide simple, basic advances over existing performance-driven routing tree constructions. Our results are complemented by a detailed analysis of the accuracy andwelity of the Elmore delay approximation; we also exactly assess the suboptimality of our heuristic tree constructions. In achieving the latter result, we develop a new characterization of Elmore-optimal routing trees, as well as a decomposition theorem for optimal Steiner trees, which are of independent interest. I. INTRODUCTION UE to the scaling of VLSI technology, interconnection D delay has become a dominant concern in the design of complex, high-performance circuits [ 131, [34]. Performancedriven layout design has thus become an active area of research over the past several years. In this paper, we develop a new critical-sink problem formulation and new solutions for performance-driven routing tree design. For a given signal net, the typical goal of performancedriven routing is to minimize average or maximum sourcesink delay. Much early work implicitly equates optimal routing with minimum-cost Steiner routing. For example, [ 141 used static timing analysis to yield net priorities, so that Manuscript
We provide a new theoretical framework for constructing Steiner routing trees with minimum Elmore delay. Earlier work [3,13] has established Elmore delay as a high delity estimate of \physical", i.e., SPICEcomputed, signal delay. Previously, however, it was not known how to construct an Elmore delay-optimal Steiner tree. Our main theoretical result is a generalization of Hanan's theorem [11] which limited the number of possible locations of Steiner nodes in an optimal delay rectilinear Steiner tree. Another theoretical result establishes a new decomposition theorem for constructing optimal-delay Steiner trees. We develop a branch-andbound method, called BB-SORT-C, which exactly minimizes any linear combination of Elmore sink delays; BB-SORT-C is practical for routing small nets and for delimiting the space of achievable routing solutions with respect to Elmore delay.
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