Investigation into Online Assessment with XML Technologies. - Joan Lu; Nathan Helliwell; Adrian Jackson (International Conference on Internet Computing, 2003)

EUFORIA HPC: Massive Parallelisation for Fusion Community. - Adrian Jackson; Adam C. Carter; Joachim Hein; Jan Westerholm; Mats Aspnäs; Matti Ropo; Alejandro Soba (PDP, 2010)

A European Infrastructure for Fusion Simulations. - Per Strand; Bernard Guillerminet; Isabel Campos Plasencia; José M. Cela; Rui Coelho; David Coster; Lars-Goran Eriksson; Matthieu Haefele; Francesco Iannone; Frederic Imbeaux; Adrian Jackson; Gabriele Manduchi; et al. (PDP, 2010)

Parallel Optimisation Strategies for Fusion Codes. - Adrian Jackson; Fiona Reid; Stephen Booth; Joachim Hein; Jan Westerholm; Mats Aspnäs; Miquel Catala; Alejandro Soba (PDP, 2011)

High Performance I/O. - Adrian Jackson; Fiona Reid; Joachim Hein; Alejandro Soba; Xavier Saez (PDP, 2011)

Shared-memory, distributed-memory, and mixed-mode parallelisation of a CFD simulation code. - Adrian Jackson; M. Sergio Campobasso (Comput. Sci. Res. Dev., 2011)

Imagine real avatars and flying shepherds: involvement and engagement in innovative ICT. - Steve Walker; Simon Bell; Adrian Jackson; Daniel Heery (PDC (1), 2012)

Transparent Access to Scientific and Commercial Clouds from the Kepler Workflow Engine. - Marcus Hardt; Thomas Jejkal; Isabel Campos Plasencia; Enol Fernández-del-Castillo; Adrian Jackson; Daniel Nielsson; Bartek Palak; Marcin Plóciennik (Comput. Informatics, 2012)

Dynamic Loop Parallelisation - Adrian Jackson; Orestis Agathokleous (CoRR, 2012)

Stepping Up. - Adrian Jackson (SYNASC, 2013)

Optimised Hybrid Parallelisation of a CFD Code on Many Core Architectures. - Adrian Jackson; M. Sergio Campobasso (SYNASC, 2013)

MDMP: Managed Data Message Passing. - Adrian Jackson; Pär Strand (SYNASC, 2013)

Experiences Porting Production Codes to Xeon Phi Processors. - Emmanouil Farsarakis; Adrian Jackson; Fiona Reid; David Scott; Michèle Weiland (PARCO, 2015)

LU Factorisation on Xeon and Xeon Phi Processors. - Adrian Jackson; Mateusz Iwo Dubaniowski (PARCO, 2015)

Symposium on Experiences of Porting and Optimising Code for Xeon Phi Processors. - Adrian Jackson; Michèle Weiland; Mark Parsons 001; Simon McIntosh-Smith (PARCO, 2015)

Optimising Performance through Unbalanced Decompositions. - Adrian Jackson; Joachim Hein; Colin M. Roach (IEEE Trans. Parallel Distributed Syst., 2015)

BeatBox - HPC Simulation Environment for Biophysically and Anatomically Realistic Cardiac Electrophysiology. - Mario Antonioletti; Vadim N. Biktashev; Adrian Jackson; Sanjay R. Kharche; Tomas Stary; Irina V. Biktasheva (CoRR, 2016)

Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory. - Adrian Jackson; Michèle Weiland; Mark Parsons 001; Bernhard Homölle (CoRR, 2018)

Exploiting the Performance Benefits of Storage Class Memory for HPC and HPDA Workflows. - Michèle Weiland; Adrian Jackson; Nick Johnson; Mark Parsons 001 (Supercomput. Front. Innov., 2018)

NORNS: Extending Slurm to Support Data-Driven Workflows through Asynchronous Data Staging. - Alberto Miranda; Adrian Jackson; Tommaso Tocci; Iakovos Panourgias; Ramon Nou (CLUSTER, 2019)

Evaluating the Arm Ecosystem for High Performance Computing. - Adrian Jackson; Andrew Turner; Michèle Weiland; Nick Johnson; Olly Perks; Mark Parsons 001 (PASC, 2019)

An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications. - Michèle Weiland; Holger Brunst; Tiago Quintino; Nick Johnson; Olivier Iffrig; Simon D. Smart; Christian Herold; Antonino Bonanni; Adrian Jackson; Mark Parsons 001 (SC, 2019)

An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory. - Adrian Jackson; Michèle Weiland; Mark Parsons 001; Bernhard Homölle (ISC Workshops, 2019)

Investigating Applications on the A64FX. - Adrian Jackson; Michèle Weiland; Nick Brown 002; Andrew Turner; Mark Parsons 001 (CLUSTER, 2020)

Hybrid Large Eddy Simulation for low-order Discontinuous Galerkin methods using an explicit filter. - A. C. W. Creech; Adrian Jackson (Comput. Phys. Commun., 2021)

Performance Comparison of DAOS and Lustre for Object Data Storage Approaches. - Nicolau Manubens; Simon D. Smart; Tiago Quintino; Adrian Jackson (PDSW@SC, 2022)

First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006. - Arwa Dabbech; Matthieu Terris; Adrian Jackson; Mpati Ramatsoku; Oleg M. Smirnov; Yves Wiaux (CoRR, 2022)

DAOS as HPC Storage: Exploring Interfaces. - Adrian Jackson; Nicolau Manubens (CLUSTER Workshops, 2023)

Deep Network Series for Large-Scale High-Dynamic Range Imaging. - Amir Aghabiglou; Matthieu Terris; Adrian Jackson; Yves Wiaux (ICASSP, 2023)

DAOS as HPC Storage: a View From Numerical Weather Prediction. - Nicolau Manubens; Tiago Quintino; Simon D. Smart; Emanuele Danovaro; Adrian Jackson (IPDPS, 2023)

Evaluating Total Environmental Impact for a Computing Infrastructure. - Adrian Jackson; Jon Hays; Alex Owen; Nicholas Walton; Alison Packer; Anish Mudaraddi (SC Workshops, 2023)

Emissions and energy efficiency on large-scale high performance computing facilities: ARCHER2 UK national supercomputing service case study. - Adrian Jackson; Alan Simpson; Andrew Turner (SC Workshops, 2023)

Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data. - Amanda G. Wilber; Arwa Dabbech; Matthieu Terris; Adrian Jackson; Yves Wiaux (CoRR, 2023)

R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy. - Amir Aghabiglou; Chung San Chu; Adrian Jackson; Arwa Dabbech; Yves Wiaux (CoRR, 2023)

Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS. - Nicolau Manubens; Simon D. Smart; Emanuele Danovaro; Tiago Quintino; Adrian Jackson (PASC, 2024)

Exploring DAOS Interfaces and Performance. - Nicolau Manubens; Johann Lombardi; Simon D. Smart; Emanuele Danovaro; Tiago Quintino; Dean Hildebrand; Adrian Jackson (SC Workshops, 2024)

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks. - Ahmadreza Eslaminia; Adrian Jackson; Beitong Tian; Avi Stern; Hallie Gordon; Rajiv Malhotra; Klara Nahrstedt; Chenhui Shao (CoRR, 2024)

The World is Not Enough: Growing Waste in HPC-enabled Academic Practice. - Carolynne Lord; Adrian Friday; Adrian Jackson; Caroline Bird; Chris Preist; Simon Lambert; Gabin Kayumbi; Kelly Widdicks (CHI, 2025)

MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching. - Tairan Xu; Leyang Xue; Zhan Lu; Adrian Jackson; Luo Mai (CoRR, 2025)