As we embrace the deep submicron era, dark silicon caused by the failure of Dennard
scaling impedes us from attaining commensurate performance benefit from the increased …

With the platforms of running deep neural networks (DNNs) move from large-scale data
centers to handheld devices, power emerge as one of the most significant obstacles …

Networks-on-chip (NoCs) acquired substantial advancements as the typical solution for a
modular, flexible and high performance communication infrastructure coping with the …

The breakdown of Dennard scaling has made computing energy limited and therefore
restricts the performance and brings rise to dark silicon. To effectively leverage the …

Uncore components including on-chip memory systems and interconnects consume a
significant portion of overall energy consumption in emerging embedded applications …

The increasing transistor count on a single chip provides an unprecedented amount of
resources for chip designers. Unfortunately, the power consumed by each transistor does …

The growing demand of low-power systems are driven by the battery-powered or energy-
scavenging applications, where power consumption becomes the prior design concern to …

In this paper, we propose a dark-silicon inspired hierarchical Time-Division-Multiplexing
(TDM) network-on-chip (NoC) with online distributed setup-scheme for slots allocation. In …

In the past decade, semiconductor manufacturers are persistent in building faster and
smaller transistors in order to boost the processor performance as projected by Moore's Law …