Embedded Systems

Embedded systems are computer systems that perform dedicated functions while being parts of a larger system. Our research targets primarily heterogeneous many-core System on a Chip (SoC) platforms where communication happens via the network-on-chip. These SoCs should be designed to meet aggressive performance requirements, while coping with limited battery capacity, thermal design power, and real-time constraints. Over the years, we have considered deterministic, probabilistic, and statistical physics-inspired design paradigms. Lately, our research targets machine learning approaches (e.g., imitation and reinforcement learning) for performance and energy optimization and resource management in heterogeneous SoC platforms.

Embedded Systems

Selected Publications

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Nandi, Amit; Marculescu, Radu

System-level power/performance analysis for embedded systems design (Inproceedings)

Proceedings of the 38th annual Design Automation Conference, pp. 599–604, 2001.

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145 entries « 25 of 25 »