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Abstract

Spatial-Division Multiplexing (SDM) technology aims to overcome capacity limits of single-mode transmission links. Design and characterization of such ultra-high capacity systems requires numerical techniques capable of dealing with vast amounts of data simulating nonlinear transmission and interaction of signals propagating in numerous spatial channels at different wavelengths, thus imposing serious challenges with respect to both, memory requirements and computation performance. We discuss how massive-parallel computation capabilities of modern Graphical Processing Units (GPUs) can be utilized to develop efficient numerical algorithms and present assessment results for the GPU-assisted SDM-capable implementation in the existing simulation environment of VPItransmissionMaker Optical Systems.

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