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Exploring the benefits of using co-packaged optics in data center and AI supercomputer networks: a simulation-based analysis
We investigate the advantages of using co-packaged optics in next-generation data center
and AI supercomputer networks. The increased escape bandwidth offered by co-packaged …
and AI supercomputer networks. The increased escape bandwidth offered by co-packaged …
Enhancing capacity of optical circuit switching Clos network in data center: progress and challenges
Future data centers are anticipated to embrace cutting-edge circuit switching technologies,
particularly optical switching, renowned for their heightened transmission capacity and …
particularly optical switching, renowned for their heightened transmission capacity and …
Joint Partial Response Equalization With Map**-Rule-Based Simplified Maximum Likelihood Decoder for Intra-DCIs
J Zhou, X Zhao, J Zhang, C Wang, Z Ma… - Journal of Lightwave …, 2025 - opg.optica.org
As the explosive growth of global IP traffic, the bandwidth growth of optoelectronic devices in
intensity modulation/direct detection (IM/DD) systems has begun lagging the capacity …
intensity modulation/direct detection (IM/DD) systems has begun lagging the capacity …
Twisted and folded Clos-network design model with two-step blocking probability guarantee
A data center network often employs a Clos-network structure due to scalability nature. A
previous design model analyzed blocking probability to guarantee the quality of Clos …
previous design model analyzed blocking probability to guarantee the quality of Clos …
Burst errors suppression for MLSE in high-speed IM/DD transmission systems using PAM
J Zhou, J Zhang, X Zhao, C Wang, T **, S Hu… - Optics …, 2023 - opg.optica.org
Maximum likelihood sequence estimation (MLSE) is the optimal signal sequence detection
that can remove the inter-symbol interference (ISI). However, we find that the MLSE causes …
that can remove the inter-symbol interference (ISI). However, we find that the MLSE causes …
PSscheduler: A parameter synchronization scheduling algorithm for distributed machine learning in reconfigurable optical networks
With the increasing size of training datasets and models, parameter synchronization stage
puts a heavy burden on the network, and communication has become one of the main …
puts a heavy burden on the network, and communication has become one of the main …
Graph Analytics on Jellyfish topology
Because large unstructured datasets are important for many science domains, distributed
graph analytics is critical to many scientists. Unfortunately, obtaining scaling and …
graph analytics is critical to many scientists. Unfortunately, obtaining scaling and …
MQL: ML-assisted queuing latency analysis for data center networks
Data center network (DCN) performance analysis is becoming increasingly critical due to the
growing data center scale and proliferation of latency-critical applications. Packetlevel …
growing data center scale and proliferation of latency-critical applications. Packetlevel …
[PDF][PDF] A Survey of Datacenter and Optical Data Center Networks.
Data center networks that depend on electrical switching have an inherent constraint in
terms of bandwidth capacity. To successfully reduce the increasing traffic demands inside …
terms of bandwidth capacity. To successfully reduce the increasing traffic demands inside …
Design of Multiple-Plane Twisted and Folded Clos Network Guaranteeing Admissible Blocking Probability
Future advancements in data centers are anticipated to incorporate advanced circuit
switching technologies, especially optical switching, which achieve high transmission …
switching technologies, especially optical switching, which achieve high transmission …