Andrew D. Brown

Event-based high throughput computing: A series of case studies on a massively parallel softcore machine

Graeme M. Bragg, Mark L. Vousden, W. Luk, 2022, IET Comput. Digit. Tech..

Visualization of Machine Learning Dynamics in Tsetlin Machines

Ole-Christoffer Granmo, A. Rafiev, F. Xia, 2022, 2022 International Symposium on the Tsetlin Machine (ISTM).

Language and hardware acceleration backend for graph processing

Alexandre Yakovlev, Jonny Wray, Andrey Mokhov, 2017, 2017 Forum on Specification and Design Languages (FDL).

POETS: An Event-driven Approach to Dissipative Particle Dynamics

Shane T. Fleming, Mark L. Vousden, J. Shillcock, 2023, ACM Trans. Parallel Comput..

General hardware multicasting for fine-grained message-passing architectures

Simon W. Moore, A. T. Markettos, A. Theodore Markettos, 2021, 2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Programming Model to Develop Supercomputer Combinatorial Solvers

Alexandre Yakovlev, David B. Thomas, Simon W. Moore, 2017, 2017 46th International Conference on Parallel Processing Workshops (ICPPW).

Distributed Event-Based Computing

David B. Thomas, Jeff Reeve, Matthew Naylor, 2018, PARCO.

A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation

Andrew Brown, Alexander D. Rast, Mahyar Shahsavari, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

An Event-Driven Approach to Genotype Imputation on a Custom RISC-V Cluster

Graeme M. Bragg, Mark L. Vousden, A. Rafiev, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Event-Driven Approach To Genotype Imputation On A Custom RISC-V FPGA Cluster

Graeme M. Bragg, Mark L. Vousden, A. Rafiev, 2023, ArXiv.