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研究生: 樓哲榮
Jer-Rong Lou
論文名稱: 閘控制及嵌入緩衝器之時鐘樹拓樸排序法
Topology generation for gated and buffered clock tree
指導教授: 麥偉基
W.K.Mak
口試委員:
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 34
中文關鍵詞: 拓樸
相關次數: 點閱:1下載:0
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  • 時鐘網路對超大型積體電路的效能和特性有很大的影響。因為有
    很大部份的功率消耗在時鐘網路上,所以時鐘網路的低功率課題變成
    重要的研究領域。在循序電路中,時鐘閘控制是一種很有效率的低功
    率設計方法。在我們的方法中,我們提出了一種快速的拓樸排序建構
    法,並且配合零時差閘控制時鐘網路建構。我們在建構拓樸排序時就
    考慮了物理位置,輸入電容,動作型態。因此我們的方法可以建構出
    適合閘控制時鐘網路繞線的拓樸。實驗結果證明我們的方法比起之前
    的方法,可以改善大約4%-10%功率


    Clock networks a ect the performance and property of VLSI circuits greatly. Power reduction
    issue for the clock network becomes an active research area since a large portion of
    power is dissipated on clock networks. Clock gating is an e ective power reduction technique
    in sequential circuits. In this work, we propose a fast topology generation algorithm
    that feeds to zero-skew gated clock network construction. It considers the physical locations,
    input capacitances, and activity patterns of clock sinks in topology generation stage.
    Therefore, our algorithm generates an appropriate topology for gated clock routing engine.
    we also extend the bu ered/gated models in our works. The experiment results show that
    our approach gains 4%-10% improvements on power saving against previous works.

    1 Introduction 1 2 Preliminary 5 2.1 Problem definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Power model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3 Activity model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.4 Downstream capacitance . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.5 DME algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3 Approach 15 3.1 Switched capacitance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2 Bu ered/gated models . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.3 Two-level topology generation algorithm . . . . . . . . . . . . . . . . . . . 19 3.4 Multi-level topology generation algorithm . . . . . . . . . . . . . . . . . . 22 3.5 Complexity analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4 Experimental Result 27 5 Conclusion 30

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