60 citations · 98 across the 12 of their papers we have counts for
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cs.LG2023
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…
cs.LG2021
Resource Allocation in Disaggregated Data Centre Systems with Reinforcement Learning
Zacharaya Shabka, Georgios Zervas
Resource-disaggregated data centres (RDDC) propose a resource-centric, and high-utilisation architecture for data centres (DC), avoiding resource fragmentation and enabling arbitra…