4 citations · 9 across the 5 of their papers we have counts for
5 papers
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
Christopher W. F. Parsonson, Zacharaya Shabka, Alessandro Ottino +1
From natural language processing to genome sequencing, large-scale machine learning models are bringing advances to a broad range of fields. Many of these models are too large to b…
RAMP: A Flat Nanosecond Optical Network and MPI Operations for Distributed Deep Learning Systems
Alessandro Ottino, Joshua Benjamin, Georgios Zervas
Distributed deep learning (DDL) systems strongly depend on network performance. Current electronic packet switched (EPS) network architectures and technologies suffer from variable…
Random Walk for modelling Multi Core Fiber cross-talk and step distribution characterisation
Alessandro Ottino, Hui Yuan, Yunnuo Xu +2
A novel random walk based model for inter-core cross-talk (IC-XT) characterization of multi-core fibres capable of accurately representing both time-domain distribution and frequen…
Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers
Hui Yuan, Alessandro Ottino, Yunnuo Xu +8
Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.…
Experimental Demonstration of Learned Time-Domain Digital Back-Propagation
Eric Sillekens, Wenting Yi, Daniel Semrau +9
We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km. Performa…