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• W2041138571 abstract "In 3-D integrated circuits, accurate runtime sensing of on-chip temperature is required to establish dynamic thermal management instruction sets. Placement restrictions and excessive runtime thermal variations, however, compromise the performance and reliability of the sensor readings. Within this framework, a novel methodology for thermal estimation based on unscented Kalman filter, augmented only with a limited number of temperature sensors at a few selected locations, is proposed. In addition, we extend discontinuous Galerkin finite-element method to include coupling mechanism between neighboring grid cells for accurate thermal profile estimation and introduce a balanced stochastic truncation to find a low-dimensional but accurate approximation of the thermal network over the whole frequency domain. As the experimental results show, the runtime thermal estimation method reduces temperature estimation errors by an order of magnitude." @default.
• W2041138571 created "2016-06-24" @default.
• W2041138571 creator A5019444861 @default.
• W2041138571 creator A5021292650 @default.
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• W2041138571 date "2014-09-01" @default.
• W2041138571 modified "2023-09-27" @default.
• W2041138571 title "Dynamic Thermal Estimation Methodology for High-Performance 3-D MPSoC" @default.
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• W2041138571 doi "https://doi.org/10.1109/tvlsi.2013.2280667" @default.
• W2041138571 hasPublicationYear "2014" @default.
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