Futurists often speak of society’s inevitable technological “singularity,” a point in the near future where computers will become ubiquitous units, seamlessly integrated in everyday objects. This trend is already being foreshadowed by manycore processing via the network-on-chip approach, a novel paradigm which implements on-chip networks that enable platforms with extreme parallel capabilities. Our group seeks to develop new machine learning, optimization, and resource management techniques which can enable such a fundamental shift for energy-efficient, cost-effective, large-scale distributed computational platforms for both embedded and high-performance applications.
In: The Conference on Robot Learning, 2021.
In: IEEE Embedded Systems Letters, 2021.
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In: IEEE Transactions on Computers, 2020.
In: IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 63–67, 2020.
In: arXiv preprint arXiv:2007.09361, 2020.