8 papers
Cryogenic Recharacterization of a Commercial 22 nm FD-SOI Foundry Standard-Cell Library
Mohamed Gharib, Rami Rasheedi, Salma Abdelzaher +6
Wiring and bandwidth bottlenecks between a quantum processor and room-temperature electronics can be reduced by placing digital control at the cryogenic stage, but commercial found…
Adaptive Inductor and Frequency Management for Integrated Power Converters
Rami Rasheedi, Salma Abdelzaher, Inna Partin-Vaisband
This work presents a digitally controlled adaptive power conversion framework that dynamically co-optimizes inductor configuration and switching frequency to achieve high efficienc…
Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration
Leonid Popryho, Ayoub Sadeghi, Inna Partin-Vaisband
High-fidelity TCAD simulation of drift-diffusion transport remains the workhorse of emerging FinFET device design, but it is computationally expensive, especially for 3D structures…
SHIFT: Dynamic Compute Relocation Framework for Communication-Aware Chiplet-Based Systems
Arvin Delavari, Leonid Popryho, Sneha Swaroopa +3
The increasing communication complexity of large-scale heterogeneous systems has motivated runtime methodologies for communication-aware workload placement and routing optimization…
Package-Embedded Coupled Inductor Arrays for High-Performance Computing Power Delivery
Rami Rasheedi, Salma Abdelzaher, Inna Partin-Vaisband
A novel power delivery framework, comprising a package-embedded inductor topology and an inductance-island methodology, is introduced to maximize both inductance and current densit…
PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery
Ayoub Sadeghi, Leonid Popryho, Inna Partin-Vaisband
This paper demonstrates the effectiveness of machine learning-driven optimization for designing application-specific GaN tri-gate FinFETs in vertical power delivery systems. Conven…
GANGR: GAN-Assisted Scalable and Efficient Global Routing Parallelization
Hadi Khodaei Jooshin, Inna Partin-Vaisband
Global routing is a critical stage in electronic design automation (EDA) that enables early estimation and optimization of the routability of modern integrated circuits with respec…
A Unified Learning Platform for Dynamic Frequency Scaling in Pipelined Processors
Arash Fouman Ajirlou, Inna Partin-Vaisband
A machine learning (ML) design framework is proposed for dynamically adjusting clock frequency based on propagation delay of individual instructions. A Random Forest model is train…