Abstract
The rapid increases in data traffic coupled with user preferences are
driving the data center and computing system service providers to
offer energy-efficient, intelligent, flexible, cost-effective,
high-capacity, and low-latency data services without added complexity
to the users. Disaggregated heterogeneous reconfigurable computing
systems realized by photonic switching and interconnects can enhance
throughput and energy efficiency for artificial intelligence/machine
learning (AI/ML) workloads, especially when aided by the
AI/ML-enhanced control plane. Photonic switching and new optical
networking architectures are expected to solve many of these
challenging problems. This paper discusses new trends in photonic
switching and optical network architectures for future data centers
and computing systems summarized as follows: (1) flat
reconfigurable disaggregated computing enabled by high-radix photonic
switching and interconnects in data centers; (2) chiplet-based
computing architectures empowered by embedded photonics toward
heterogeneous reconfigurable computing; (3) nanosecond-scale
photonic switching in data centers and computing systems;
(4) AI/ML in self-driving, application-aware, and
situation-aware data centers; (5) the emergence of flexible
networking for cloud computing, edge computing, and split computing,
as well as flexible networking for 5G/6G RF-optical networks; and
(6) the deployment of embedded co-designed silicon photonics
being considered for future data centers.
Funder
U.S. Department of Defense
U.S. Department of Energy
Subject
Computer Networks and Communications
Cited by
1 articles.
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