Partition-based approach to parametric dynamic compact thermal modeling

• Autores: Lorenzo Codecasa, Vincenzo d'Alessandro, Alessandro Magnani, Niccolò Rinaldi, Andre G. Metzger, Robin Bornoff, John Parry
• Localización: Microelectronics reliability, ISSN 0026-2714, Nº. 79, 2017, págs. 361-370
• Idioma: inglés
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• Resumen

  • Abstract This paper presents three procedures for the extraction of parametric Dynamic Compact Thermal Models (DCTMs) with controlled and user-chosen accuracy, namely, (i) a DCTM with dense matrices obtained by a direct conventional method, (ii) a partition-based approach leading to a sparse DCTM suited for heat conduction problems suffering from a massive number of independent heat sources and/or parameters, for which extracting conventional dense DCTMs may be too resource-demanding or even unviable, and (iii) a novel algorithm that quickly translates a sparse DCTM into a dense one, which allows reducing the simulation time. The proposed methodologies are validated through the application to two state-of-the-art electronics systems.