Selective body biasing for post-silicon tuning of sub-threshold designs: A semi-infinite programming approach with Incremental Hypercubic Sampling
详细信息 查看全文
- 作者：Hui Genga ; hgrfd@mst.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jianming Liua ; jltx5@mst.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jinglan Liub ; jliu16@nd.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Pei-Wen Luoc ; peiwen@itri.org.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Liang-Chia Chengc ; aga@itri.org.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Steven L. Granta ; sgrant@mst.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yiyu Shib ; yshi4@nd.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Sub-threshold designs ; Body biasing ; Semi-infinite programming ; Incremental Hypercubic Sampling
- 刊名：Integration, the VLSI Journal
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：55
- 期：Complete
- 页码：465-473
- 全文大小：1360 K
文摘
- •
The selective body biasing problem is formulated as linear semi-infinite programming.
- •
Incremental Hypercubic Sampling is specially tailored to the problem structure.
- •
Results show that the pass rate was improved by up to 7.3× with a speed up to 4.1×.