/Development, modelling and analysis of off-chip PDN components for next-generation heterogenous high-performance computing systems

Development, modelling and analysis of off-chip PDN components for next-generation heterogenous high-performance computing systems

Master projects/internships - Leuven | Just now

Excited about powering-up heterogenous computing systems of the future? 

The proposed internship focuses on the comprehensive modeling and analysis of off-chip power delivery networks (PDNs), a critical component in ensuring reliable and efficient power delivery to integrated circuits (ICs) in modern electronic systems. The project will involve developing accurate circuit models for various elements of the off-chip PDN, including voltage regulator modules (VRMs), PCB traces, decoupling capacitors and package-level interconnects. Part of the responsibility will involve automating the export of off-chip component models to a SPICE simulator. The intern will utilize SPICE simulation tools to analyze the impedance profiles of the PDN across a wide range of frequencies, identifying potential resonance points and designing strategies to maintain low impedance.

Additionally, the project will include transient simulations to evaluate the PDN’s response to dynamic load conditions, such as rapid current changes caused by switching activity within the IC. Through this work, the intern will explore techniques to optimize the PDN design, including strategic placement and selection of decoupling capacitors, reducing parasitic inductance, and improving power integrity. This hands-on experience will provide valuable insights into the challenges and trade-offs involved in designing robust PDNs, preparing the intern to address the power delivery demands of high-performance computing systems. Furthermore, the intern will have the opportunity to collaborate with cross-functional teams and gain exposure to state-of-the-art tools and methodologies used in industry for power integrity and system design.

Required skills: Circuit design, modeling and simulation, Python coding

Tools: Cadence Virtuoso, SPICE, Matlab

Type of Project: Combination of internship and thesis 

Master's degree: Master of Engineering Technology; Master of Engineering Science 

Master program: Electromechanical engineering; Energy; Electrotechnics/Electrical Engineering; Nanoscience & Nanotechnology 

Duration: 3-6-9 months 

For more information or application, please contact Priya Venugopal (priya.venugopal@imec.be) and Subrat Mishra (subrat.mishra@imec.be).

 

Imec allowance will be provided for students studying at a non-Belgian university. 

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