3 citations · 4 across the 7 of their papers we have counts for
12 papers
Experimental Characterization of SMD Inductors for Cryogenic Power Conversion at 4 K
Rami Rasheedi, Umeshkumar Patel, Jonathan Baldwin +2
With the increasing complexity and scalability demands of cryogenic electronic systems, such as quantum computing platforms, conversion of power within the cryogenic environment ha…
Electrothermal behavior of superconducting nanowires buried in a commercial CMOS process
Mohamed Gharib, Leonid Popryho, Salma Abdelzaher +14
Superconducting films native to a commercial CMOS process enable co-integration of superconducting devices (high-kinetic-inductance elements and nanowire detectors) with cryogenic…
ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale
Yaroslav Popryho, Debjit Pal, Inna Partin-Vaisband
Modern System-on-Chip (SoCs) often contain hundreds of millions to tens of billions of gates, making existing Hardware Trojan (HT) detection methods impractical due to their immens…
A Comprehensive Design Framework for Vertical Power Delivery in High-Performance Computing
Sriharini Krishnakumar, Yaroslav Popryho, Mingeun Choi +4
Power delivery -- including high-to-low voltage conversion, complex power distribution across heterogeneously integrated chiplets, and efficient interconnect allocation -- remains…
Power-Integrity Modeling of VR Faults in High-Performance Applications
Sriharini Krishnakumar, Inna Partin-Vaisband
Distributed vertical power delivery has emerged as a promising approach to meet aggressive current-density, efficiency, and transient response requirements in high-performance comp…
Dynamic Power Management Methodology for Distributed Vertical Power Delivery in High-Performance Computing Systems
Sriharini Krishnakumar, Inna Partin-Vaisband
Distributed vertical power delivery (DVPD) architectures employ multiple parallel voltage regulators (VRs) to meet the high-power and high current density demands of modern high pe…
Automated Hardware Trojan Insertion in Industrial-Scale Designs
Yaroslav Popryho, Debjit Pal, Inna Partin-Vaisband
Industrial Systems-on-Chips (SoCs) often comprise hundreds of thousands to millions of nets and millions to tens of millions of connectivity edges, making empirical evaluation of h…
Vertical Power Delivery for Emerging Packaging and Integration Platforms -- Power Conversion and Distribution
Sriharini Krishnakumar, Dr. Inna Partin-Vaisband
Efficient delivery of current from PCB to point-of-load (POL) is a primary concern in modern high-power high-density integrated systems. Traditionally, a 48 V power signal is conve…
A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment
Arash Fouman Ajirlou, Inna Partin-Vaisband
A machine learning (ML) design framework is proposed for adaptively adjusting clock frequency based on propagation delay of individual instructions. A random forest model is traine…
Progressive VAE Training on Highly Sparse and Imbalanced Data
Dmitry Utyamishev, Inna Partin-Vaisband
In this paper, we present a novel approach for training a Variational Autoencoder (VAE) on a highly imbalanced data set. The proposed training of a high-resolution VAE model begins…
Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
Farid Kenarangi, Xuan Hu, Yihan Liu +3
Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems…
A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification
Farid Kenarangi, Inna Partin-Vaisband
Mixed-signal machine-learning classification has recently been demonstrated as an efficient alternative for classification with power expensive digital circuits. In this paper, a h…