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研究生: 吳柏毅
Wu, Po Yi
論文名稱: 新穎繞線於金屬凸塊製成之技術演進
A Novel Routing Framework for Technology Migration with Bump Encroachment
指導教授: 麥偉基
Mak, Wai Kei
口試委員: 王廷基
Wang,Ting Chi
李毅郎
Li, Yih Lang
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: 2015
畢業學年度: 103
論文頁數: 19
中文關鍵詞: 科技演進重配層繞線覆晶技術
外文關鍵詞: Technology Migration, RDL routing, flip chip
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  • 技術演進(technology migration)在產品週期中扮演很重要的角色,比較被關注的項目為layout compaction 的重新使用和硬體程式語言的重新使用,但有關flip-chip的繞線卻乏人問津。錫球(bumps)的個數也隨著技術演進的腳步逐漸減少,因此在flip-chip上做RDL 繞線的問題越來越複雜。這篇論文是在解決在錫球(bumps)個數有限的情況下,如何在最短線長的目標下進行RDL 繞線,我們所採用的方法是minimum cost maximum flow 演算法,實驗結果顯示我們的方法可以比maze routing的方法線長減少約69%


    Technology migration plays a critical role in the time-to-market competition. Most existing works focus on layout compaction or hardware description language re-synthesis, and pay little attention to the I/O interface in flip chips. The complication of bumping process as well as electrical and reliability considerations prevent the bumps from scaling with transistor sizes. On the other hand, the number of signal bumps cannot be reduced and sometimes even increases due to the demands for wider bandwidth and various peripheral devices. As a result, the allocated die area for I/O can no longer afford the number of bumps a chip requires. This issue, known as bump encroachment, puts a stringent requirement on the redistribution layer (RDL) routing. In this paper, we first formulate the problem of RDL routing with bump encroachment, and then propose a network flow based algorithm to efficiently address it. Experimental results on a few benchmarks with parameters extracted from industrial designs show that compared with a maze routing-based approach, our algorithm can achieve up to 69% wirelength reduction.

    中文摘要 ii Acknowledgement iii Abstract iv List of Figures vi List of Tables vii Chapter 1 Introduction 1 Chapter 2 Background and Motivation 4 2.1 Technology Migration 4 2.2 RDL Routing 4 Chapter 3 Problem Formulation 6 Chapter 4 Algorithm 7 4.1 Routing Model Construction 8 4.2 P/G Trunk Insertion 8 4.3 Connecting P/G Trunks and Signal Traces to Bumps by Network Flow 12 4.4 Post-Processing 13 Chapter 5 Experimental Result 14 Chapter 6 Conclusion 16 Chapter 7 Reference 18

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