Abstract:Optical networks-on-chip (ONoCs) are gaining momentum as a way to improve energy consumption and bandwidth scalability in the next generation multi-core and many-core systems. Although many valuable research works have investigated their properties, the vast majority of them lacks an accurate exploration of the network interface architecture required to support optical communications on the silicon chip. The complexity of this architecture is especially critical for a specific kind of ONoCs: the wavelength-rou… Show more
“…For the complete ENI architecture, the interested reader is referred to [36]. We obtained the area of the electronic components in that ENI by synthesizing all the blocks presented in [36] with a 40-nm industrial technology library, and obtained about 0.15 mm 2 .…”
A realistic assessment of optical networks-on-chip (ONoCs) can be performed only in the context of a comprehensive floorplanning strategy for the system as a whole, especially when the 3-D stacking of electronic and optical layers is implemented. This paper fosters layout-aware ONoC design by developing a physical mapping methodology for wavelength-routed ONoC topologies subject to the floorplanning, placement, and routing constraints that arise in a 3-D-stacked environment. As a result, this paper is able to compare the power efficiency and signal-to-noise ratio of ring-based versus filter-based wavelength-routed topologies as determined by their physical design flexibility
“…For the complete ENI architecture, the interested reader is referred to [36]. We obtained the area of the electronic components in that ENI by synthesizing all the blocks presented in [36] with a 40-nm industrial technology library, and obtained about 0.15 mm 2 .…”
A realistic assessment of optical networks-on-chip (ONoCs) can be performed only in the context of a comprehensive floorplanning strategy for the system as a whole, especially when the 3-D stacking of electronic and optical layers is implemented. This paper fosters layout-aware ONoC design by developing a physical mapping methodology for wavelength-routed ONoC topologies subject to the floorplanning, placement, and routing constraints that arise in a 3-D-stacked environment. As a result, this paper is able to compare the power efficiency and signal-to-noise ratio of ring-based versus filter-based wavelength-routed topologies as determined by their physical design flexibility
“…The design of interface is a challenging task due to the different signal frequencies between electrical and optical domains [13] [14]. For example, a modulation frequency F mod set to 10GHz provides a throughput of 10Gbit/s on 1-bit serial data transmission.…”
Section: Electrical/optical Interfacesmentioning
confidence: 99%
“…by using a Hamming decoder with a size similar to the coder. This paper does not investigate data flow control and multi-wavelenghts allocation, which have already been efficiently addressed in [13] and [14], respectively.…”
Abstract-Nanophotonic is an emerging technology considered as one of the key solutions for future generation on-chip interconnects. Indeed, this technology provides high bandwidth for data transfers and can be a very interesting alternative to bypass the bottleneck induced by classical NoC. However, their implementation in fully integrated 3D circuits remains uncertain due to the high power consumption of on-chip lasers. However, if a specific bit error rate is targeted, digital processing can be added in the electrical domain to reduce the laser power and keep the same communication reliability. This paper addresses this problem and proposes to transmit encoded data on the optical interconnect, which allows for a reduction of the laser power consumption, thus increasing nanophotonics interconnects energy efficiency. The results presented in this paper show that using simple Hamming coder and decoder permits to reduce the laser power by nearly 50% without loss in communication data rate and with a negligible hardware overhead.
“…We assume a core size and a die size of 1.33mm × 1.33mm and 9mm × 9mm respectively. Therefore cores occupy about 57mm 2 of the available 81mm 2 , the rest is being occupied by the on-chip electronic network (roughly 3.5mm 2 for the target system size), by I/O peripherals, by TSV arrays, and by the electronic circuits needed to drive the optical hubs [Ortín-Obón et al 2014]. Three different kinds of communication have to be enabled: a) between clusters, b) from a cluster to an off-chip memory connected to the optical layer, and c) from a memory to a cluster.…”
Section: State-of-the-art and Backgroundmentioning
Optical Networks-on-Chip (ONoCs) are a promising technology to overcome the bottleneck of low bandwidth of electronic Networks-on-Chip. Recent research discusses power and performance benefits of ONoCs based on their system-level design, while layout effects are typically overlooked. As a consequence, laser power requirements are inaccurately computed from the logic scheme but do not consider the layout. In this article, we propose PROTON+, a fast tool for placement and routing of 3D ONoCs minimizing the total laser power. Using our tool, the required laser power of the system can be decreased by up to 94% compared to a state-of-the-art manually designed layout. In addition, with the help of our tool, we study the physical design space of ONoC topologies. For this purpose, topology synthesis methods (e.g., global connectivity and network partitioning) as well as different objective function weights are analyzed in order to minimize the maximum insertion loss and ultimately the system’s laser power consumption. For the first time, we study optimal positions of memory controllers. A comparison of our algorithm to a state-of-the-art placer for electronic circuits shows the need for a different set of tools custom-tailored for the particular requirements of optical interconnects.
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