M
Muhammad Shafique
Researcher at New York University Abu Dhabi
Publications - 663
Citations - 11004
Muhammad Shafique is an academic researcher from New York University Abu Dhabi. The author has contributed to research in topics: Computer science & Dark silicon. The author has an hindex of 43, co-authored 564 publications receiving 8086 citations. Previous affiliations of Muhammad Shafique include COMSATS Institute of Information Technology & New York University.
Papers
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Proceedings ArticleDOI
Mapping on multi/many-core systems: survey of current and emerging trends
TL;DR: An extensive survey and categorization of state-of-the-art mapping methodologies and highlights the emerging trends for multi/many-core systems.
Proceedings ArticleDOI
A low latency generic accuracy configurable adder
TL;DR: A low-latency generic accuracy configurable adder to support variable approximation modes that provides a higher number of potential configurations compared to state-of-the-art, thus enabling a high degree of design flexibility and trade-off between performance and output quality.
Proceedings ArticleDOI
Reliable on-chip systems in the nano-era: lessons learnt and future trends
Jorg Henkel,Lars Bauer,Nikil Dutt,Puneet Gupta,Sani R. Nassif,Muhammad Shafique,Mehdi B. Tahoori,Norbert Wehn +7 more
TL;DR: In this article, the authors introduce the most prominent reliability concerns from today's points of view and roughly recapitulate the progress in the community so far and suggest a way for coping with reliability challenges in upcoming technology nodes.
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The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives
TL;DR: New challenges as well as opportunities are described in the context of the interaction of dark silicon with thermal, reliability and variability concerns, and preliminary experimental evidence in their support is provided.
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Invited - Cross-layer approximate computing: from logic to architectures
TL;DR: This paper provides a systematical understanding of how to generate and explore the design space of approximate components, which enables a wide-range of power/energy, performance, area and output quality tradeoffs, and a high degree of design flexibility to facilitate their design.