UU Nisa, J Bashir - Journal of Systems Architecture, 2024 - Elsevier
Silicon nanophotonics, with its high-speed, low-loss optical interconnects, and high computation capabilities, is seen as one of the promising technologies that can easily …
Parameter quantization in convolutional neural networks (CNNs) can help generate efficient models with lower memory footprint and computational complexity. But, homogeneous …
The approximate computing paradigm advocates for relaxing accuracy goals in applications to improve energy-efficiency and performance. Recently, this paradigm has been explored …
J Lee, C Killian, S Le Beux, D Chillet - ACM Transactions on Design …, 2021 - dl.acm.org
The energy consumption of manycore architectures is dominated by data movement, which calls for energy-efficient and high-bandwidth interconnects. To overcome the bandwidth …
The performance of on-chip communication in the state-of-the-art multi-core processors that use the traditional electronic NoCs has already become severely energy-constrained. To …
Managing Multi-Processor Systems-on-Chip (MPSoCs) is becoming increasingly complex as demands for advanced capabilities rise. This complexity is due to the involvement of …
Regarding the increase in the number of cores in the electronic network-on-chip, they may not be an ideal choice in the response of needing latency, power, and reliability. However …
The approximate computing paradigm advocates for relaxing accuracy goals in applications to improve energy-efficiency and performance. Recently, this paradigm has been explored …