SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty
Modern computing system applications or workloads can bring significant non-uniform temperature gradient on-chip, and hence can cause significant temperature uncertainty during clock-tree synthesis. Existing designs of clock-trees have to assume a given time-invariant worst-case temperature map but...
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sg-ntu-dr.10356-1034382020-03-07T14:00:36Z SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty Basir-Kazeruni, Sina Yu, Hao Gong, Fang Hu, Yu Liu, Chunchen He, Lei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Modern computing system applications or workloads can bring significant non-uniform temperature gradient on-chip, and hence can cause significant temperature uncertainty during clock-tree synthesis. Existing designs of clock-trees have to assume a given time-invariant worst-case temperature map but cannot deal with a set of temperature maps under a set of workloads. For robust clock-tree synthesis considering temperature uncertainty, this paper presents a new problem formulation: Stochastic PErturbation based Clock Optimization (SPECO). In SPECO algorithm, one nominal clock-tree is pre-synthesized with determined merging points. The impact from the stochastic temperature variation is modeled by perturbation (or small physical displacement) of merging points to offset the induced skews. Because the implementation cost is reduced but the design complexity is increased, the determination of optimal positions of perturbed merging points requires a computationally efficient algorithm. In this paper, one Non-Monte-Carlo (NMC) method is deployed to generate skew and skew variance by one-time analysis when a set of stochastic temperature maps is already provided. Moreover, one principal temperature–map analysis is developed to reduce the design complexity by clustering correlated merging points based on the subspace of the correlation matrix. As a result, the new merging points can be efficiently determined level by level with both skew and its variance reduced. The experimental results show that our SPECO algorithm can effectively reduce the clock-skew and its variance under a number of workloads with minimized wire-length overhead and computational cost. MOE (Min. of Education, S’pore) 2014-04-14T01:32:20Z 2019-12-06T21:12:41Z 2014-04-14T01:32:20Z 2019-12-06T21:12:41Z 2012 2012 Journal Article Basir-Kazeruni, S., Yu, H., Gong, F., Hu, Y., Liu, C., & He, L. (2013). SPECO: Stochastic Perturbation based Clock tree Optimization considering temperature uncertainty. Integration, the VLSI Journal, 46(1), 22-32. 0167-9260 https://hdl.handle.net/10356/103438 http://hdl.handle.net/10220/19258 10.1016/j.vlsi.2012.04.004 167722 en Integration, the VLSI journal © 2012 Elsevier B.V. |
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DRNTU::Engineering::Electrical and electronic engineering Basir-Kazeruni, Sina Yu, Hao Gong, Fang Hu, Yu Liu, Chunchen He, Lei SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
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Modern computing system applications or workloads can bring significant non-uniform temperature gradient on-chip, and hence can cause significant temperature uncertainty during clock-tree synthesis. Existing designs of clock-trees have to assume a given time-invariant worst-case temperature map but cannot deal with a set of temperature maps under a set of workloads. For robust clock-tree synthesis considering temperature uncertainty, this paper presents a new problem formulation: Stochastic PErturbation based Clock Optimization (SPECO). In SPECO algorithm, one nominal clock-tree is pre-synthesized with determined merging points. The impact from the stochastic temperature variation is modeled by perturbation (or small physical displacement) of merging points to offset the induced skews. Because the implementation cost is reduced but the design complexity is increased, the determination of optimal positions of perturbed merging points requires a computationally efficient algorithm.
In this paper, one Non-Monte-Carlo (NMC) method is deployed to generate skew and skew variance by one-time analysis when a set of stochastic temperature maps is already provided. Moreover, one principal temperature–map analysis is developed to reduce the design complexity by clustering correlated merging points based on the subspace of the correlation matrix. As a result, the new merging points can be efficiently determined level by level with both skew and its variance reduced. The experimental results show that our SPECO algorithm can effectively reduce the clock-skew and its variance under a number of workloads with minimized wire-length overhead and computational cost. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Basir-Kazeruni, Sina Yu, Hao Gong, Fang Hu, Yu Liu, Chunchen He, Lei |
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Article |
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Basir-Kazeruni, Sina Yu, Hao Gong, Fang Hu, Yu Liu, Chunchen He, Lei |
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Basir-Kazeruni, Sina |
title |
SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
title_short |
SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
title_full |
SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
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SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
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SPECO : stochastic perturbation based clock tree optimization considering temperature uncertainty |
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speco : stochastic perturbation based clock tree optimization considering temperature uncertainty |
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2014 |
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https://hdl.handle.net/10356/103438 http://hdl.handle.net/10220/19258 |
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