Yu Fu , Guoliang Li , Guangbao Shan , Zeyu Chen , Hongrui Zhao , Yintang Yang
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引用次数: 0
Abstract
An intelligent thermo-mechanical coupling collaborative design technique for 2.5D chiplet heterogeneous integration (CHI) systems is proposed. Using a four-chiplet 2.5D CHI system as an example, a thermo-mechanical coupling simulation model is established to reduce computational load through Latin hypercube sampling and data-driven modeling, significantly improving design efficiency. A GA-BPNN is developed to map design parameters to performance parameters, enabling fast and reliable performance prediction. An improved PSO-LDIW algorithm is employed for multi-physics collaborative optimization, with results verified via finite element analysis. The proposed method effectively reduces maximum temperature and stress, with optimization deviations below 1.006%, providing an efficient solution for optimizing thermal and mechanical performance in high-density chip systems and offering insights for multi-domain collaborative design.
期刊介绍:
Published since 1969, the Microelectronics Journal is an international forum for the dissemination of research and applications of microelectronic systems, circuits, and emerging technologies. Papers published in the Microelectronics Journal have undergone peer review to ensure originality, relevance, and timeliness. The journal thus provides a worldwide, regular, and comprehensive update on microelectronic circuits and systems.
The Microelectronics Journal invites papers describing significant research and applications in all of the areas listed below. Comprehensive review/survey papers covering recent developments will also be considered. The Microelectronics Journal covers circuits and systems. This topic includes but is not limited to: Analog, digital, mixed, and RF circuits and related design methodologies; Logic, architectural, and system level synthesis; Testing, design for testability, built-in self-test; Area, power, and thermal analysis and design; Mixed-domain simulation and design; Embedded systems; Non-von Neumann computing and related technologies and circuits; Design and test of high complexity systems integration; SoC, NoC, SIP, and NIP design and test; 3-D integration design and analysis; Emerging device technologies and circuits, such as FinFETs, SETs, spintronics, SFQ, MTJ, etc.
Application aspects such as signal and image processing including circuits for cryptography, sensors, and actuators including sensor networks, reliability and quality issues, and economic models are also welcome.