研究生: |
籃健銘 |
---|---|
論文名稱: |
掃描鏈診斷之掃描鏈分群 Scan Chain Partition for Scan Chain Diagnosis |
指導教授: | 黃婷婷 |
口試委員: |
王俊堯
黃俊達 |
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: | 2012 |
畢業學年度: | 100 |
語文別: | 英文 |
論文頁數: | 32 |
中文關鍵詞: | 掃描鏈 、掃描鏈診斷 |
外文關鍵詞: | scan chain, scan chain diagnosis |
相關次數: | 點閱:2 下載:0 |
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掃描鏈診斷被視為提高晶片良率的重要議題之一。在這篇論文中,我們提出了將掃描鏈分群以提高掃描鏈診斷品質之演算法,其中包含利用邏輯閘關係建立控制關係圖,然後利用關係圖進行分群演算法。實驗結果顯示我們能將掃描鏈診斷之可疑掃描細胞範圍縮小至二到三,能降低投入物理檢查之成本,提高掃描鏈診斷之品質。
Scan chain diagnosis has become a critical issue to yield loss in modern technology. In this thesis, we present a scan chain partition algorithm to improve scan chain fault diagnosis resolution. In our scan chain partition algorithm,
we rst construct a controllability graph by netlist ependency, then perform the partition algorithm to decide which scan chain a scan cell belongs to. The experimental results show that our method can reduce the number of suspect scan cells from 378-4 to at most 2-3 for most cases of ITC'99 benchmarks.
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