23 citations · 48 across the 6 of their papers we have counts for
6 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…
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre
From logistics to the natural sciences, combinatorial optimisation on graphs underpins numerous real-world applications. Reinforcement learning (RL) has shown particular promise in…
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
Combinatorial optimisation problems framed as mixed integer linear programmes (MILPs) are ubiquitous across a range of real-world applications. The canonical branch-and-bound algor…
Traffic Generation for Benchmarking Data Centre Networks
Christopher W. F. Parsonson, Joshua L. Benjamin, Georgios Zervas
Benchmarking is commonly used in research fields, such as computer architecture design and machine learning, as a powerful paradigm for rigorously assessing, comparing, and develop…
Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching
Christopher W. F. Parsonson, Zacharaya Shabka, W. Konrad Chlupka +2
Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a gene…
SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks
Thomas Gerard, Christopher Parsonson, Zacharaya Shabka +3
We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-power fast tuning across S-/C-/L-bands. Sub-ns switching is demonstrated, supporting 12250 GHz channels…