Abstract
In recent years, the applicability of network function virtualization and software-defined
networks to optical access systems has been studied for reducing capital expenditure/operating expense
and quickly responding to various service requests. We are aiming at expanding the footprint of
software-defined functionality in optical line terminals by focusing on physical (PHY) layer functions
as one key part of the flexible access system architecture. Utilization of common graphic processing
units (GPUs) with a large amount of computation resources is promising for softwarizing PHY-layer
functions that have high computation complexity. However, conventional studies do not consider
sequential signal input and realize only Mbps-class processing. This paper proposes CPU control for GPU
direct transfer in order to directly transfer an external signal input to GPU, and kernel startup
scheduling so as to handle a sequential signal at 10 Gbps. For Reed–Solomon decoding, whose PHY-layer
functions have high computation complexity, we demonstrate real-time performance from a general-purpose
server with standard optical modules by implementing on it. The proposed configuration is evaluated
using an optical system compliant with IEEE 802.3av. Evaluations show that the proposed GPU
configuration realizes, for the first time, 10-Gbps real-time error correction.
© 2018 IEEE
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