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Matheus Trevisan Moreira

Publications and source records attributed to Matheus Trevisan Moreira.

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Academia x Industry: The Role of Fundamentals for Silicon in an AI Native Era

Agentic AI is set to become one of the most transformational technologies in generations and materially change how we approach silicon design and engineering. The impact is being felt in real time amid a rapidly changing landscape, which can make it overwhelming for both silicon practitioners and academics to adapt to the AI native silicon design era. To add structure to how we navigate this transition, we provide a joint view from academia and industry silicon practitioners of the challenges, opportunities, and considerations we expect will catalyze how the community transitions into an AI native silicon future. In particular, we reemphasize the importance of core silicon design fundamentals in academic training and why they have renewed importance in research and industry practice for AI native silicon design. It is our hope that the views provided here will offer valuable and complementary perspectives to those in academia and industry to interpret, inform, and catalyze the transition to the AI native era. We expect that many similar and overlapping views will emerge, but the precise technical details will differ across stakeholders, so it is valuable for the community to amass a diversity of viewpoints.

cs.AR

A Survey of Aging Monitors and Reconfiguration Techniques

CMOS technology scaling makes aging effects an important concern for the design and fabrication of integrated circuits. Aging deterioration reduces the useful life of a circuit, making it fail earlier. This deterioration can affect all portions of a circuit and impacts its performance and reliability. Contemporary literature shows solutions to monitor and mitigate aging using hardware and software monitoring mechanisms and reconfiguration techniques. The goal of this review of the state-of-the-art is to identify existing monitoring and reconfiguration solutions for aging. This survey evaluates the aging research, focusing the years from 2012 to 2019, and proposes a classification for monitors and reconfiguration techniques. Results show that the most common monitor type used for aging detection is to monitor timing errors, and the most common reconfiguration technique used to deal with aging is voltage scaling. Furthermore, most of the literature contributions are in the digital field, using hardware solutions for monitoring aging in circuits. There are few literature contributions in the analog area, being the scope of this survey in the digital domain. By scrutinizing these solutions, this survey points directions for further research and development of aging monitors and reconfiguration techniques

cs.AR