A Survey of Silicon Photonics for Energy-Efficient Manycore Computing Page 1 60 2168-2356/20©2020
IEEE Copublished by the IEEE CEDA, IEEE CASS, IEEE SSCS, and TTTC IEEE Design&Test …

Silicon nanophotonics technology is being considered for future networks-on-chip (NoCs) as
it can enable high bandwidth density and lower latency with traversal of data at the speed of …

On-chip communication is widely considered to be one of the major performance
bottlenecks in contemporary chip multiprocessors (CMPs). With recent advances in silicon …

Emerging artificial intelligence applications across the domains of computer vision, natural
language processing, graph processing, and sequence prediction increasingly rely on deep …

Photonic networks-on-chip (PNoCs) enable high bandwidth on-chip data transfers by using
photonic waveguides capable of dense-wave-length-division-multiplexing (DWDM) for …

Silicon-photonic networks on chip (PNoCs) provide high bandwidth with lower data-
dependent power dissipation than does the traditional electrical NoCs (ENoCs); therefore …

Nanophotonics as a promising candidate for future on-chip networks has several benefits
such as bandwidth transparency, light-speed data rate and low power consumption. Despite …

Training deep learning networks involves continuous weight updates across the various
layers of the deep network while using a backpropagation (BP) algorithm. This results in …

Silicon photonic interconnects are being considered for integration in future networks-on-
chip (NoCs) as they can enable higher bandwidth and lower latency data transfers at the …

Optical networks-on-chip (NoC) based on silicon photonics has been proposed as an
emerging on-chip communication infrastructure of chip multiprocessors. However, due to …