Oxford e-Research Centre | Publications
Recent Publications
CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
Stoyanov R, Spišaková V, Ramos J, Gurfinkel S, Vagin A et al. (2025)
BibTeX
@misc{criugputranspar-2025/2,
title={CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads},
author={Stoyanov R, Spišaková V, Ramos J, Gurfinkel S, Vagin A et al.},
year = "2025"
}
Globular Clusters GMRT Pulsar Search (GCGPS) I: Survey description, discovery and timing of the first pulsar in NGC 6093 (M80)
Das J, Roy J, Freire PCC, Ransom SM, Bhattacharyya B et al. (2025)
BibTeX
@misc{globularcluster-2025/2,
title={Globular Clusters GMRT Pulsar Search (GCGPS) I: Survey description, discovery and timing of the first pulsar in NGC 6093 (M80)},
author={Das J, Roy J, Freire PCC, Ransom SM, Bhattacharyya B et al.},
year = "2025"
}
Digitalization opportunities to enable local power system transition to net-zero
Azizi E, Hua W, Stephen B, Wallom D & McCulloch M (2025), Energy for Sustainable Development, 84
Security by Design Issues in Autonomous Vehicles
Higgins M, Jha D, Blundell D & Wallom D (2025)
BibTeX
@misc{securitybydesig-2025/1,
title={Security by Design Issues in Autonomous Vehicles},
author={Higgins M, Jha D, Blundell D & Wallom D},
year = "2025"
}
Security-by-Design Issues in Autonomous Vehicles
Higgins M, Jha DN, Blundell D & Wallom D (2025), IT Professional, 27(1), 50-56
Lowering in-memory footprint of antenna beams via polynomial approximation
Taqi A, Adámek K, Gueuning Q, Serylak M, Laing R et al. (2024)
Double-Exponential Increases in Inference Energy: The Cost of the Race for Accuracy
Yang Z, Adamek K & Armour W (2024)
BibTeX
@misc{doubleexponenti-2024/12,
title={Double-Exponential Increases in Inference Energy: The Cost of the Race
for Accuracy},
author={Yang Z, Adamek K & Armour W},
year = "2024"
}
Distribution of the Högbom CLEAN Algorithm Using Tiled Images with Feedback
Wright D, Adámek K & Armour W (2024)
BibTeX
@misc{distributionoft-2024/12,
title={Distribution of the Högbom CLEAN Algorithm Using Tiled Images with
Feedback},
author={Wright D, Adámek K & Armour W},
year = "2024"
}
Lowering in-memory footprint of antenna beams via polynomial approximation
Taqi A, Adámek K, Gueuning Q, Serylak M, Laing R et al. (2024)
AnACor2.0: a GPU‐accelerated open‐source software package for analytical absorption corrections in X‐ray crystallography
Lu Y, Adámek K, Stefanic T, Duman R, Wagner A et al. (2024), Journal of Applied Crystallography, 57(6)
BibTeX
@article{anacoragpuaccel-2024/11,
title={AnACor2.0: a GPU‐accelerated open‐source software package for analytical absorption corrections in X‐ray crystallography},
author={Lu Y, Adámek K, Stefanic T, Duman R, Wagner A et al.},
journal={Journal of Applied Crystallography},
volume={57},
publisher={International Union of Crystallography (IUCr)},
year = "2024"
}
Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU’s Built-In Power Sensor
Yang Z, Adamek K & Armour W (2024), 00, 1-17
BibTeX
@inproceedings{accurateandconv-2024/11,
title={Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU’s Built-In Power Sensor},
author={Yang Z, Adamek K & Armour W},
booktitle={SC24: International Conference for High Performance Computing, Networking, Storage and Analysis},
pages={1-17},
year = "2024"
}
Electricity climate-compatibility index: Measuring global progress towards decarbonising the power sector
Alotaiq A, Collett KA, Fofrich R, Wallom D & McCulloch M (2024), Journal of Economy and Technology, 2, 1-21
BibTeX
@article{electricityclim-2024/11,
title={Electricity climate-compatibility index: Measuring global progress towards decarbonising the power sector},
author={Alotaiq A, Collett KA, Fofrich R, Wallom D & McCulloch M},
journal={Journal of Economy and Technology},
volume={2},
pages={1-21},
publisher={Elsevier BV},
year = "2024"
}
A Run-Time Framework for Ensuring Zero-Trust State of Client's Machines in Cloud Environment
Jha DN, Lenton G, Asker J, Blundell D, Higgins M et al. (2024), IEEE Transactions on Cloud Computing, PP(99), 1-13
BibTeX
@article{aruntimeframewo-2024/11,
title={A Run-Time Framework for Ensuring Zero-Trust State of Client's Machines in Cloud Environment},
author={Jha DN, Lenton G, Asker J, Blundell D, Higgins M et al.},
journal={IEEE Transactions on Cloud Computing},
volume={PP},
pages={1-13},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2024"
}
Intensity-sensitive quality assessment of extended sources in astronomical images
Li X, Armour W & Adamek K (2024), Astrophysical Journal Supplement Series, 274(2)
BibTeX
@article{intensitysensit-2024/10,
title={Intensity-sensitive quality assessment of extended sources in astronomical images},
author={Li X, Armour W & Adamek K},
journal={Astrophysical Journal Supplement Series},
volume={274},
number={37},
publisher={American Astronomical Society},
year = "2024"
}
AI security and cyber risk in IoT systems
Radanliev P, de Roure D, Maple C, Nurse JRC, Nicolescu R et al. (2024), Frontiers in Big Data, 7
AI security and cyber risk in IoT systems
Radanliev P, De Roure D, Maple C, Nurse JRC, Nicolescu R et al. (2024)
BibTeX
@misc{aisecurityandcy-2024/10,
title={AI security and cyber risk in IoT systems},
author={Radanliev P, De Roure D, Maple C, Nurse JRC, Nicolescu R et al.},
year = "2024"
}
An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization.
Diehl A, Rahman AA, Bach B, El-Assady M, Kraus M et al. (2024), IEEE transactions on visualization and computer graphics, PP
The attribution of February extremes over North America: a forecast-based storyline study
Lee D, Sparrow S, Leach N, Osprey S, Lee J et al. (2024), Journal of Climate, 37(19), 5073-5089
BibTeX
@article{theattributiono-2024/9,
title={The attribution of February extremes over North America: a forecast-based storyline study},
author={Lee D, Sparrow S, Leach N, Osprey S, Lee J et al.},
journal={Journal of Climate},
volume={37},
pages={5073-5089},
publisher={American Meteorological Society},
year = "2024"
}
Maximizing Grid Intelligence: Harnessing Substation Load Data via Machine Learning
Azizi E, Hua W, Wallom D & McCulloch M (2024), 594-599
BibTeX
@inproceedings{maximizinggridi-2024/9,
title={Maximizing Grid Intelligence: Harnessing Substation Load Data via Machine Learning},
author={Azizi E, Hua W, Wallom D & McCulloch M},
booktitle={2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)},
pages={594-599},
year = "2024"
}
Image similarity using an ensemble of context-sensitive models
Liao Z & Chen M (2024), KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1758-1769