| 2026 | ASPLOS | An MLIR Lowering Pipeline for Stencils at Wafer-Scale. | Nicolai Stawinoga, David Katz, Anton Lydike, Justs Zarins, Nick Brown, George Bisbas, Tobias Grosser |
| 2026 | CCGRID | Lifting to Tensors when Compiling Scientific Computing Workloads for AI Engines. | Nick Brown, Gabriel Rodriguez-Canal |
| 2026 | FCCM | Towards Compiler-Driven Dynamic Partial Reconfiguration with MLIR. | Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo |
| 2026 | FPGA | Towards Scheduling of Pipelined Dataflow Graphs in MLIR. | Gabriel Rodriguez-Canal, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Maurice Jamieson, Nick Brown |
| 2025 | CSEDU | AI Principles in Practice with a Learning Engineering Framework. | Rachel Van Campenhout, Nick Brown, Benny G. Johnson |
| 2025 | FPGA | Seamless Acceleration of Fortran Intrinsics via AMD AI Engines. | Nick Brown, Gabriel Rodriguez-Canal |
| 2025 | SC | Is RISC-V ready for High Performance Computing? An evaluation of the Sophon SG2044. | Nick Brown |
| 2025 | SC | Programmer productivity and performance on AMD's AI Engines: Offloading Fortran intrinsics via MLIR a case-study. | Nick Brown, Gabriel Rodriguez-Canal |
| 2025 | SC | An MLIR pipeline for offloading Fortran to FPGAs via OpenMP. | Gabriel Rodriguez-Canal, David Katz, Nick Brown |
| 2024 | ASPLOS | A shared compilation stack for distributed-memory parallelism in stencil DSLs. | George Bisbas, Anton Lydike, Emilien Bauer, Nick Brown, Mathieu Fehr, Lawrence Mitchell, Gabriel Rodriguez-Canal, Maurice Jamieson, Paul H. J. Kelly, Michel Steuwer, Tobias Grosser |
| 2024 | FPGA | Evaluating Versal AI Engines for Option Price Discovery in Market Risk Analysis. | Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus |
| 2024 | SC | Fully integrating the Flang Fortran compiler with standard MLIR. | Nick Brown |
| 2024 | SC | Accelerating stencils on the Tenstorrent Grayskull RISC-V accelerator. | Nick Brown, Ryan Barton |
| 2024 | SC | Pragma driven shared memory parallelism in Zig by supporting OpenMP loop directives. | David Kacs, Joseph Lee, Justs Zarins, Nick Brown |
| 2023 | FPGA | Exploring the Versal AI Engines for Accelerating Stencil-based Atmospheric Advection Simulation. | Nick Brown |
| 2023 | FPL | Fortran High-Level Synthesis: Reducing the Barriers to Accelerating HPC Codes on FPGAs. | Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus |
| 2023 | SC | Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang. | Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias Grosser |
| 2023 | SC | Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU. | Nick Brown, Maurice Jamieson, Joseph K. L. Lee, Paul Wang |
| 2023 | SC | Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA. | Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Emilien Bauer, Anton Lydike, Tobias Grosser |
| 2023 | SOFTCOM | Exploring Student Persistence with Automatically Generated Practice through Interaction Patterns. | Rachel Van Campenhout, Michelle W. Clark, Jeffrey S. Dittel, Nick Brown, Richard Benton, Benny G. Johnson |
| 2022 | EuroPar | Exploring the Suitability of the Cerebras Wafer Scale Engine for Stencil-Based Computation Codes. | Nick Brown, Brandon Echols, Justs Zarins, Tobias Grosser |
| 2022 | EuroPar | Performance of the Vipera Framework for DSLs on Micro-Core Architectures. | Maurice Jamieson, Nick Brown |
| 2022 | EuroPar | Programming Abstractions for Preemptive Scheduling on FPGAs Using Partial Reconfiguration. | Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo Gonzlez-Escribano |
| 2022 | FCCM | A programming model for developing Application Specific Dataflow Machines on FPGAs. | Nick Brown |
| 2021 | CC | Compact native code generation for dynamic languages on micro-core architectures. | Maurice Jamieson, Nick Brown |
| 2021 | CLUSTER | Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. | Nick Brown |
| 2021 | CLUSTER | Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. | Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown |
| 2021 | SC | Utilising urgent computing to tackle the spread of mosquito-borne diseases. | Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt |
| 2020 | CLUSTER | Investigating Applications on the A64FX. | Adrian Jackson, Michle Weiland, Nick Brown, Andrew Turner, Mark Parsons |
| 2020 | ECAI | Machine Learning for Gas and Oil Exploration. | Vito Alexander Nordloh, Anna Roubckov, Nick Brown |
| 2020 | FPL | Weighing Up the New Kid on the Block: Impressions of using Vitis for HPC Software Development. | Nick Brown |
| 2020 | ICWSM | When Does Trust in Online Social Groups Grow? | Shankar Iyer, Justin Cheng, Nick Brown, Xiuhua Wang |
| 2020 | SC | Exploring the acceleration of Nekbone on reconfigurable architectures. | Nick Brown |
| 2020 | SC | A Bespoke Workflow Management System for Data-Driven Urgent HPC. | Gordon P. S. Gibb, Nick Brown, Rupert W. Nash, Miguel Mendes, Santiago Monedero, Humberto Daz Fidalgo, Joaqun Ramrez Cisneros, Adrin Cardil, Max Kontak |
| 2020 | SC | Benchmarking micro-core architectures for detecting disasters at the edge. | Maurice Jamieson, Nick Brown |
| 2019 | SC | It's All About Data Movement: Optimising FPGA Data Access to Boost Performance. | Nick Brown, David Dolman |
| 2019 | SC | iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing. | Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull |
| 2019 | SC | The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing. | Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan |
| 2016 | SC | ePython: An Implementation of Python for the Many-Core Epiphany Co-processor. | Nick Brown |
| 2015 | SC | A directive based hybrid met office NERC cloud model. | Nick Brown, Angus Lepper, Michle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard |