Scalable Construction of Clock Trees With Useful Skew and High Timing Quality.

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Bibliographic Details
Title: Scalable Construction of Clock Trees With Useful Skew and High Timing Quality.
Authors: Ewetz, Rickard1, Koh, Cheng-Kok2
Source: IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems. Jun2019, Vol. 38 Issue 6, p1161-1174. 14p.
Subjects: Clock distribution networks, Algorithms, Foundations of arithmetic, Eigenfactor, Clock & watch industry
Abstract: Clock trees can be constructed based on static arrival time constraints or dynamic implied skew constraints. Dynamic implied skew constraints allow the full timing margins to be utilized. However, the dynamic skew constraints require a high run-time complexity to be evaluated. In contrast, static arrival time constraints are more restrictive but can be evaluated in constant time. Consequently, there is a tradeoff between timing margin utilization and run-time. In this paper, a scalable clock tree synthesis (CTS) framework is proposed for the construction of low-cost useful skew trees (USTs) with high timing quality. The scalability is based on combining the use of arrival time constraints with virtual minimum and maximum delay offsets, which facilitates that a pair of smaller subtrees can be joined into a larger subtree in constant time. The ability to quickly join subtrees is leveraged to perform a high degree of solution space exploration, which translates into the construction of USTs with low-cost. In particular, clock trees with various routing tree topologies, buffer tree topologies, buffer sizes, and stem wire lengths are explored. Moreover, the arrival time constraints are specified with the objective of being the least restrictive to reduce cost. Furthermore, the constraints are respecified throughout the tree construction process using a slack graph (SG) to expose additional timing margins. The high timing quality is obtained by seamlessly integrating arbitrary timing models using the SG. Finally, the proposed CTS framework is integrated with a clock tree optimization framework to demonstrate that the constructed USTs are capable of meeting timing constraints under the influence of on-chip variations. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Clock trees can be constructed based on static arrival time constraints or dynamic implied skew constraints. Dynamic implied skew constraints allow the full timing margins to be utilized. However, the dynamic skew constraints require a high run-time complexity to be evaluated. In contrast, static arrival time constraints are more restrictive but can be evaluated in constant time. Consequently, there is a tradeoff between timing margin utilization and run-time. In this paper, a scalable clock tree synthesis (CTS) framework is proposed for the construction of low-cost useful skew trees (USTs) with high timing quality. The scalability is based on combining the use of arrival time constraints with virtual minimum and maximum delay offsets, which facilitates that a pair of smaller subtrees can be joined into a larger subtree in constant time. The ability to quickly join subtrees is leveraged to perform a high degree of solution space exploration, which translates into the construction of USTs with low-cost. In particular, clock trees with various routing tree topologies, buffer tree topologies, buffer sizes, and stem wire lengths are explored. Moreover, the arrival time constraints are specified with the objective of being the least restrictive to reduce cost. Furthermore, the constraints are respecified throughout the tree construction process using a slack graph (SG) to expose additional timing margins. The high timing quality is obtained by seamlessly integrating arbitrary timing models using the SG. Finally, the proposed CTS framework is integrated with a clock tree optimization framework to demonstrate that the constructed USTs are capable of meeting timing constraints under the influence of on-chip variations. [ABSTRACT FROM AUTHOR]
ISSN:02780070
DOI:10.1109/TCAD.2018.2834437