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Heuristic Methods for Fine-Grain Exploitation of FDSOI.
- Source :
-
IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems . Sep2020, Vol. 39 Issue 10, p2860-2871. 12p. - Publication Year :
- 2020
-
Abstract
- Fully depleted silicon on insulator (FDSOI) is attractive for its low cost and low power; the mixed-Vt and body-bias levers that it affords expand the performance-power solution space. However, in FDSOI, different-Vt (i.e., low Vt and regular Vt) devices must be isolated from each other, which makes realization of fine-grained mixed-Vt/body-biasing in layout extremely challenging. In this article, we study heuristic methods aimed at exploitation of fine-grained mixed-Vt in FDSOI implementation. We propose a novel speed domain partitioning (SDP) problem formulation that comprehends the spatial contiguity restrictions arising from flip-well structure of low Vt regions in popular 28-nm commercial FDSOI offerings. We explore a wide space of implementation flows that include an integer linear programming (ILP)-based approach, and a heuristic (sensitivity-based) optimization. Our experimental studies have been performed across multiple commercial enablements. We observe that outcomes are library- and design-dependent. For implementations using generic library options, up to 20% speed improvement with 54% low Vt region is seen for one out of four testcases studied. For implementations using “rich” library options, up to 7% speed improvement with 26% low Vt region is achieved. We provide a discussion that summarizes root-cause, intrinsic difficulties of fine-grained exploitation of mixed-Vt. Finally, we suggest a “decision tree” to help assess a design’s amenability to fine-grained mixed-Vt implementation, and to help guide design flow selection for better design QoR. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HEURISTIC
*LINEAR programming
*INTEGER programming
*DECISION trees
Subjects
Details
- Language :
- English
- ISSN :
- 02780070
- Volume :
- 39
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 146079959
- Full Text :
- https://doi.org/10.1109/TCAD.2019.2935053