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研究生: 陳奕如
Chen, I-Ru
論文名稱: 動態壓降約束下以可繞度為導向之電源網路規劃法
Routability-driven Powerplanning with Dynamic Voltage Drop Constraint
指導教授: 林家民
Lin, Jai-Ming
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 45
中文關鍵詞: 電源網路規劃多功率資料電壓下降可繞度繞線擁擠叢集演算法動態壓降
外文關鍵詞: Multiple power profiles, IR-drop, Powerplanning, Routability, Routing Congestion, Clustering Algorithm, Dynamic IR-drop
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  • 由於電源網路對電路的效能有很大的影響,因此電源網路規劃(Powerplanning)仍然被視為現今的實體設計(Physical Design)流程當中最為重要的階段。隨著半導體製程的進步和設計複雜性的增加,導致電源網路規劃問題難度大幅度提高。為了滿足電壓下降和電遷移效應的約束,傳統的電源網路規劃法通常會使用過多的電源網路線,使得其在繞線階段時晶片上產生不可繞的區域。此外,他們忽略動態功率對電源網路的影響。因此現在電源網路規劃的挑戰為如何在滿足靜態壓降約束時同時最小化繞線資源使用量。更重要的是,必須在滿足動態壓降約束的同時考慮晶片的可繞度。
    不同於以往的研究,在本論文中,我們開發了一個可靠且有效的電源網路規劃法,在考慮不同功率資料下達成以可繞度為導向之電源網路,可以在滿足壓降約束的同時還能夠最小化繞線面積。我們的方法包含規劃階段和優化階段。在規劃階段,我們在同時考量電壓下降和整體繞線擁擠度的情況下,使用叢集演算法來決定每條電源網路線的適當位置。為了滿足動態壓降約束,優化階段會藉由多個功率資料下的壓降違規圖建立出代表性的違規圖,並依據該圖改善壓降違規。根據我們所提出的方法可以有效地解決壓降違規,並且不會使用過多的繞線資源。實驗結果顯示,此方法能在實際工業使用之電路取得了不錯的成果。

    Because a power network has a great impact on the performance of a circuit, powerplanning has become a more important stage in a modern VLSI design flow. As the semiconductor feature size shrinks and the design complexity increases, powerplanning becomes more difficult. In order to meet the IR-drop and EM constraints, traditional powerplanning often uses excessive power stripes which may lead to routing congestion in signal net routing. Moreover, they only consider the static power consumption without considering the dynamic power consumption. Hence, the challenges of modern powerplanning problem include how to minimize routing resources while satisfying the static IR-drop constraint. More importantly, it has to consider routability while meeting the dynamic IR-drop constraint.
    In this thesis, we develop an efficient and effective powerplanning methodology to construct a routability-driven power network for different power profiles, which can minimize routing area while satisfying the IR-drop constraint. Our methodology consists of the planning stage and post-optimization stage. In the planning stage, we apply the clustering based algorithm to determine the proper locations of power stripes, where the IR-drop and routing congestion are considered at the same time. In order to consider dynamic IR-drop constraint, the post-optimization stage iteratively constructs a representative voltage violation map according to multiple power profiles and repair IR-drop violations according to the map. According to the proposed approach, our approach can repair voltage violations efficiently without consuming excessive routing area. The experimental results show the proposed methodology achieves promising results in industry designs.

    摘要 II Abstract III Table of Contents V List of Tables VIII List of Figures IX Chapter 1 Introduction 1 1.1 The Structure of the Power Network 2 1.1.1 Power Ring 5 1.1.2 Power Stripe 5 1.1.3 Power Rail 6 1.2 Previous Works 6 1.3 Our Contributions. 9 1.4 Thesis Organization 10 Chapter 2 Problem Formulation 11 Chapter 3 Preliminary 12 3.1 The Concept of IR-drop 12 3.1.1 Overview of Node-Based Method 14 3.1.2 Fast Voltage Update 15 3.2 Routability 16 3.2.1 Overview of Effective Stripe Width (ESW) 17 Chapter 4 Planning Stage 18 4.1 Vertical Sub-Region Construction 19 4.2 TPRW Computation Based on Equivalent Circuit Model 19 4.3 Clustering-based VPS Allocation Algorithm 21 4.3.1 Objective Function in Initial Stage 22 4.3.2 Objective Function in Refinement Stage 25 Chapter 5 Post-Optimization Stage 27 5.1.1 RVVM Construction 28 5.1.2 Window Dimension Determination 29 5.1.3 Voltage Violation Hotspot Identification 30 5.1.4 VPSs Sizing 32 Chapter 6 Experimental Results 34 6.1 Effect of Different Sub-region Construction Methods 35 6.2 Comparison with Previous Works 36 6.3 Effect of Smoothing Method 40 6.4 Experiments of RVVM 41 6.5 Experiments of Optimization Method 42 Chapter 7 Conclusion 44 Bibliography 45

    [1] J.-M. Lin, J.-S. Syu and I.-R. Chen, “Macro-Aware Row-Style Power Delivery Network Design for Better Routability,” in Proc. ICCAD, Nov. 2018.
    [2] S.S.-Y. Liu, C.-J. Lee, C.-C. Huang, H.-M. Chen, C.-T. Lin and C.-H. Lee, “Effective power network prototyping via statistical-based clustering and sequential linear programming,” in Proc. DATE, pp. 1701-1706, 2013.
    [3] C. Chu and Y.-C. Wong, “FLUTE: Fast Lookup Table Based Rectilinear Steiner Minimal Tree Algorithm for VLSI Design,” IEEE Trans. on CAD, vol. 27(1), pp. 70-83, Jan 2008.
    [4] H. Qian, S. R. Nassif, and S. S. Sapatnekar, “Random walks in a supply network,” in Proc. Design Automation Conf. (DAC), 2003, pp. 93–98
    [5] S. Kose and E. G. Friedman, “Fast Algorithms for IR Voltage Drop Analysis Exploiting Locality,” in Proc. Design Automation Conference, pp. 996–1001, June 2011.
    [6] Y. Zhong and M. D. F. Wong, “Fast algorithms for IR drop analysis in large power grid,” in Proc. ICCAD, Nov. 2005.
    [7] Y. Zhong and M.D.-F. Wong, “Thermal-Aware IR Drop Analysis in Large Power Grid,” in Proc. ISQED, pp. 194-199, 2008.
    [8] T.-Y. Wang and C.-C. Chen, “Optimization of the Power/Ground Network Wire-Sizing and Spacing Based on Sequential Network Simplex Algorithm,” in Proc. ISQED, pp. 157-162, 2002.
    [9] W.-H. Chang, M.C.-T. Chao and S.-H. Chen, “Practical Routability-Driven Design Flow for Multilayer Power Networks Using Aluminum-Pad Layer,” IEEE Trans. on VLSI Systems, vol. 22(5), pp. 1069-1081, Jun. 2013.
    [10] C.-J. Lee, S.S.-Y. Liu, C.-C. Huang, H.-M. Chen C.-T. Lin and C.-H. Lee, “Hierarchical Power Network Synthesis for Multiple Power Domain Designs,” in Proc. ISQED, pp. 477-482, 2012.
    [11] P. Falkenstern, Y. Xie, Y.-W Chang and Y. Wang, “Three-Dimensional Integrated Circuits (3D IC) Floorplan and Power/Ground Network Co-Synthesis,” in Proc. ASP-DAC, pp. 169-174, 2010.
    [12] C.-C. Huang, C.-T. Lin, W.-S. Liao, C.-J. Lee, H.-M. Chen, C.-H. Lee and D.-M. Kwai, “Improving Power Delivery Network Design by Practical Methodologies,” in Proc. ICCD, pp. 237-242, 2014.
    [13] Y. Zhong and M. D. F. Wong, “Fast Placement Optimization of Power Supply Pads,” In Proc. ASP-DAC, May, 2007.
    [14] https://www.apacheda.com/products/redhawk
    [15] https://www.synopsys.com/support/training/signoff/primetimesi-fcd.html

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