Power-Integrity Modeling of VR Faults in High-Performance Applications
Sriharini Krishnakumar, Inna Partin-Vaisband
2026
Abstract
Distributed vertical power delivery has emerged as a promising approach to meet aggressive current-density, efficiency, and transient response requirements in high-performance computing systems. Tight integration of voltage regulators within stacked substrates, however, increases the vulnerability of the power delivery system to short-circuit and open-circuit faults arising from elevated thermal and mechanical stresses. Such faults can propagate through the shared power delivery network, leading to rapid degradation of system-wide efficiency at worst-case rates of up to 0.5% per microsecond. Advanced fault-tolerant power management strategies are therefore required to ensure efficient power delivery. A real-time fault-detection and isolation methodology are proposed in this paper for vertical power delivery systems. The methodology is developed based on an analytical inductor-current models that rely solely on signals available within the converter control circuitry, thereby eliminating additional sensing overhead. The proposed framework is designed and simulated in SPICE environment, demonstrating sub-microsecond fault detection and effective dual-fuse isolation, maintaining uninterrupted power delivery with a system-wide efficiency degradation of less than 2%.
Keywords
Related papers
A dual-loop framework for manufacturability-aware topology optimization of electric vehicle structures via wire arc additive manufacturing
Qiang Cui, Chuan Yu, Daoqian Yang +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Geometric digital twin: A digital and intelligent model for aero-engine assembly accuracy prediction
Ke Shang, Xin Jin, Teli Xu +4 more
Robotics and Computer-Integrated Manufacturing · 2026
Revolutionizing Industries Through AI-Driven Robotics
Aryan Chaudhary
Recent Advances in Computer Science and Communications · 2026
Design and dynamic performance prediction of a novel large-aperture offset-feed deployable antenna
Chuang Shi, Tianming Liu, Ning Xue +6 more
Aerospace Science and Technology · 2026