research
∙
02/20/2023
A Vectorised Packing Algorithm for Efficient Generation of Custom Traffic Matrices
We propose a new algorithm for generating custom network traffic matrice...
share
research
∙
01/31/2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
From natural language processing to genome sequencing, large-scale machi...
research
∙
11/28/2022
RAMP: A Flat Nanosecond Optical Network and MPI Operations for Distributed Deep Learning Systems
Distributed deep learning (DDL) systems strongly depend on network perfo...
research
∙
10/26/2022
Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks
Resource-disaggregated data centre architectures promise a means of pool...
research
∙
10/25/2022
One-shot, Offline and Production-Scalable PID Optimisation with Deep Reinforcement Learning
Proportional-integral-derivative (PID) control underlies more than 97% o...
research
∙
07/03/2021
TrafPy: Benchmarking Data Centre Network Systems
Benchmarking is commonly used in research fields such as computer archit...
research
∙
06/04/2021
Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres
Data centres (DCs) underline many prominent future technological trends ...
research
∙
08/15/2020
On the Relationship Between Network Topology and Throughput in Mesh Optical Networks
The relationship between topology and network throughput of arbitrarily-...
research
∙
03/11/2020
SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks
We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-pow...
research
∙
02/10/2020
