Ensuring Low-Power Design Verification in Semiconductor Architectures

Abstract

With rising energy demands on both sides of the memory and compute stack in high-performance computing (HPC), graphics, and artificial intelligence (AI) accelerators, high energy efficiency, low latency, and scalable semiconductor designs have become important. As these industries develop, well-thought-out conservation in the semiconductor architecture is necessary to pursue economic and environmental goals. This paper studies the role of low-power design verification in semiconductor architectures in terms of some key methodologies, such as Design for Test (DFT) and GPU hardware validation, respectively. The verification process verifies the performance, power, and functional requirements compulsory in low-power applications. It shows how powerful the DVFS, clock, and power gating techniques reduce power consumption. The scan chain insertion, built-in self-test (BIST), and boundary scan are required DFT methodologies to help identify early in the design cycle and before full design. These power inefficiencies would otherwise require a costly redesign once a portion of the design is available in production. Finally, the paper also talks about the role of GPU hardware validation in guaranteeing that AI accelerators work effectively with power limitations. The paper points out that following the integration of power-aware simulation tools and cooperation among multidisciplinary teams, low-power design verification can be useful in designing energy-efficient, high-performance semiconductor devices. The last study looks at future design verification of low-power technology, which will continue to enable energy-efficient semiconductor technology by integrating AI-driven tools and quantum computing. A contribution to understanding how verification is fundamental to realizing sustainable and optimized design for future semiconductors is made.