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Thesis
Home   /   Thesis   /   DCDC converter based on chiplet for HPC applications

DCDC converter based on chiplet for HPC applications

New computing paradigms, circuits and technologies, incl. quantum Technological challenges

Abstract

High-performance computing (HPC) is becoming more and more critical for the AI
advancement. HPC requires significant amount of power for the needed processing
and struggles with thermal dissipation issues. Recent research highlights the need for
innovative solutions to improve power management for AI processors.
In our research team, you will be responsible for developing an enhanced power
management unit to provide a stable power supply for high-performance processors.
By exploring cutting-edge DC-DC converter topologies and emerging silicon passive
components (inductors and capacitors), the main objective is to design a highly efficient
DC-DC converter that optimizes both power efficiency and density. This project also
involves analyzing power distribution networks and integrated circuit design to optimize
the overall power delivery efficiency with relatively small form factor.
As a PhD student, you will be engaged in various technical tasks, from system-level
analysis to IC design. Working in an IC-design lab, you will collaborate with digital
design and component teams to address both device- and system-level challenges.
Your tasks will be distributed across system architecture (40%), passive component
analysis (20%), and converter design (40%).

Laboratory

Département Composants Silicium (LETI)
Service Caractérisation, Conception et Simulation
Laboratoire des circuits intégrés pour la Gestion de l'Energie, les Capteurs et Actionneurs
Université Grenoble Alpes
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