Massimiliano Di Todaro
Multiscale Thermal Estimation for 2.5D/3D Chiplet-based High-performance Server SoCs.
Rel. Daniele Jahier Pagliari. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
Abstract
Advanced heterogeneous integration through 3D technology has become a critical enabler for modern integrated circuits (ICs), addressing many of the inherent limitations of traditional 2D architectures. However, this progress introduces significant thermal management challenges due to increased power consumption, making accurate thermal estimation essential. The use of fast and accurate thermal models is therefore crucial for thermal-aware design from the early stages of IC development. Traditional methods such as finite element methods (FEM) offer high accuracy but face challenges in system-level analysis due to computational inefficiency. To overcome this, compact thermal models (CTMs) have been introduced, significantly improving simulation time with minimal loss of accuracy.
This thesis focuses on the evaluation and extension of CTMs to enhance their utility in various thermal management scenarios, proposing a methodology to account for non-uniform power dissipation in high-performance computing (HPC) server SoC designs
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
