A physical implementation method based on Innovus to improve chip performance
For high-performance chip designs with ever-increasing scale and increasing operating frequency, performance has always been the focus and difficulty of physical design. The buffer is inserted to minimize signal line delay, which optimizes timing and improves performance. The use of Cadence Innovus...
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doaj-999026a0b9d84d1c82983423edbc11892020-11-25T00:34:30ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-08-01458485210.16157/j.issn.0258-7998.1998043000107391A physical implementation method based on Innovus to improve chip performanceBian Shaoxian0David He1Luan Xiaokun2Jiang Jianfeng3Zhai Feixue4Cai Zhun5Tianjin Phytium Technology Co.,Ltd.,Changsha 410000,ChinaTianjin Phytium Technology Co.,Ltd.,Changsha 410000,ChinaTianjin Phytium Technology Co.,Ltd.,Changsha 410000,ChinaTianjin Phytium Technology Co.,Ltd.,Changsha 410000,ChinaTianjin Phytium Technology Co.,Ltd.,Changsha 410000,ChinaCadence Design Systems,Inc.,Shanghai 201204,ChinaFor high-performance chip designs with ever-increasing scale and increasing operating frequency, performance has always been the focus and difficulty of physical design. The buffer is inserted to minimize signal line delay, which optimizes timing and improves performance. The use of Cadence Innovus tools to build physical design flows that reduce deviations between steps is described. At the same time, based on this process, a secondary layout optimization method is proposed. The process and method are verified by a high-performance chip design at 16 nm. The example results show that the design performance is greatly improved, and the timing optimization is 85.07%. The flow and method can effectively improve high performance chip performance.http://www.chinaaet.com/article/3000107391innovusphysical implementationsecondary placement optimization |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
Bian Shaoxian David He Luan Xiaokun Jiang Jianfeng Zhai Feixue Cai Zhun |
spellingShingle |
Bian Shaoxian David He Luan Xiaokun Jiang Jianfeng Zhai Feixue Cai Zhun A physical implementation method based on Innovus to improve chip performance Dianzi Jishu Yingyong innovus physical implementation secondary placement optimization |
author_facet |
Bian Shaoxian David He Luan Xiaokun Jiang Jianfeng Zhai Feixue Cai Zhun |
author_sort |
Bian Shaoxian |
title |
A physical implementation method based on Innovus to improve chip performance |
title_short |
A physical implementation method based on Innovus to improve chip performance |
title_full |
A physical implementation method based on Innovus to improve chip performance |
title_fullStr |
A physical implementation method based on Innovus to improve chip performance |
title_full_unstemmed |
A physical implementation method based on Innovus to improve chip performance |
title_sort |
physical implementation method based on innovus to improve chip performance |
publisher |
National Computer System Engineering Research Institute of China |
series |
Dianzi Jishu Yingyong |
issn |
0258-7998 |
publishDate |
2019-08-01 |
description |
For high-performance chip designs with ever-increasing scale and increasing operating frequency, performance has always been the focus and difficulty of physical design. The buffer is inserted to minimize signal line delay, which optimizes timing and improves performance. The use of Cadence Innovus tools to build physical design flows that reduce deviations between steps is described. At the same time, based on this process, a secondary layout optimization method is proposed. The process and method are verified by a high-performance chip design at 16 nm. The example results show that the design performance is greatly improved, and the timing optimization is 85.07%. The flow and method can effectively improve high performance chip performance. |
topic |
innovus physical implementation secondary placement optimization |
url |
http://www.chinaaet.com/article/3000107391 |
work_keys_str_mv |
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_version_ |
1725313039165554688 |