Andrew D. Brown

According to our database, Andrew D. Brown authored at least 63 papers between 1987 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jordan Morris, Ashur Rafiev, Graeme M. Bragg, Mark L. Vousden, David B. Thomas, Alex Yakovlev, Andrew D. Brown

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems.

Mahyar Shahsavari, David B. Thomas, Marcel van Gerven, Andrew D. Brown, Wayne Luk

Array, December, 2023

POETS: An Event-driven Approach to Dissipative Particle Dynamics: Implementing a Massively Compute-intensive Problem on a Novel Hard/Software Architecture.

Andrew D. Brown, Jonathan R. Beaumont, David B. Thomas, Julian C. Shillcock, Matthew Naylor, Graeme M. Bragg, Mark Vousden, Simon W. Moore, Shane T. Fleming

ACM Trans. Parallel Comput., June, 2023

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

Mark Vousden, Jordan Morris, Graeme McLachlan Bragg, Jonathan Beaumont, Ashur Rafiev, Wayne Luk, David B. Thomas, Andrew D. Brown

IET Comput. Digit. Tech., January, 2023

2022

Asynchronous simulated annealing on the placement problem: A beneficial race condition.

Mark Vousden, Graeme M. Bragg, Andrew D. Brown

J. Parallel Distributed Comput., 2022

Synchronization in graph analysis algorithms on the Partially Ordered Event-Triggered Systems many-core architecture.

Ashur Rafiev, Alex Yakovlev, Ghaith Tarawneh, Matthew Naylor, Simon W. Moore, David B. Thomas, Graeme M. Bragg, Mark Vousden, Andrew D. Brown

IET Comput. Digit. Tech., 2022

2021

General hardware multicasting for fine-grained message-passing architectures.

Matthew Naylor, Simon W. Moore, David B. Thomas, Jonathan R. Beaumont, Shane T. Fleming, Mark Vousden, A. Theodore Markettos, Thomas Bytheway, Andrew D. Brown

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture.

Mahyar Shahsavari, David B. Thomas, Andrew D. Brown, Wayne Luk

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

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

Alexander Rast, Mahyar Shahsavari, Graeme M. Bragg, Mark Vousden, David B. Thomas, Andrew D. Brown

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Termination detection for fine-grained message-passing architectures.

Matthew Naylor, Simon W. Moore, Andrey Mokhov, David B. Thomas, Jonathan R. Beaumont, Shane T. Fleming, A. Theodore Markettos, Thomas Bytheway, Andrew D. Brown

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019

POETS: Distributed Event-Based Computing - Scaling Behaviour.

Andrew D. Brown, Mark Vousden, Alex Rast, Graeme M. Bragg, David B. Thomas, Jonny Beaumont, Matthew Naylor, Andrey Mokhov

Proceedings of the Parallel Computing: Technology Trends, 2019

2018

SpiNNaker: Event-Based Simulation - Quantitative Behavior.

Andrew D. Brown, John E. Chad, Raihaan Kamarudin, Kier J. Dugan, Stephen B. Furber

IEEE Trans. Multi Scale Comput. Syst., 2018

Exploiting Aging Benefits for the Design of Reliable Drowsy Cache Memories.

Daniele Rossi, Vasileios Tenentes, Sudhakar M. Reddy, Bashir M. Al-Hashimi, Andrew D. Brown

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Using machine learning for sequence-level automated MRI protocol selection in neuroradiology.

Andrew D. Brown, Thomas R. Marotta

J. Am. Medical Informatics Assoc., 2018

2017

Distributed Event-Based Computing.

Andrew D. Brown, David B. Thomas, Jeff Reeve, Ghaith Tarawneh, Alessandro de Gennaro, Andrey Mokhov, Matthew Naylor, Tom Kazmierski

Proceedings of the Parallel Computing is Everywhere, 2017

Programming Model to Develop Supercomputer Combinatorial Solvers.

Ghaith Tarawneh, Andrey Mokhov, Matthew Naylor, Alex Rast, Simon W. Moore, David B. Thomas, Alex Yakovlev, Andrew D. Brown

Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

Language and hardware acceleration backend for graph processing.

Andrey Mokhov, Alessandro de Gennaro, Ghaith Tarawneh, Jonny Wray, Georgy Lukyanov, Sergey Mileiko, Joe Scott, Alex Yakovlev, Andrew D. Brown

Proceedings of the 2017 Forum on Specification and Design Languages, 2017

2016

The European Masters in Embedded Computing Systems (EMECS).

Mark Zwolinski, Wolfgang Kunz, Kjetil Svarstad, Andrew D. Brown

Proceedings of the 11th European Workshop on Microelectronics Education, 2016

2015

SpiNNaker - Programming Model.

Andrew D. Brown, Stephen B. Furber, Jeffrey S. Reeve, Jim D. Garside, Kier J. Dugan, Luis A. Plana, Steve Temple

IEEE Trans. Computers, 2015

Reliable computation with unreliable computers.

Andrew D. Brown, Rob Mills, Kier J. Dugan, Jeffrey S. Reeve, Stephen B. Furber

IET Comput. Digit. Tech., 2015

2013

A Tracking System for Wireless Embedded Nodes Using Time-of-Flight Ranging.

Evangelos B. Mazomenos, Jeff S. Reeve, Neil M. White, Andrew D. Brown

IEEE Trans. Mob. Comput., 2013

Overview of the SpiNNaker System Architecture.

Steve B. Furber, David R. Lester, Luis A. Plana, Jim D. Garside, Eustace Painkras, Steve Temple, Andrew D. Brown

IEEE Trans. Computers, 2013

SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation.

Eustace Painkras, Luis A. Plana, Jim D. Garside, Steve Temple, Francesco Galluppi, Cameron Patterson, David R. Lester, Andrew D. Brown, Steve B. Furber

IEEE J. Solid State Circuits, 2013

Interconnection system for the spiNNaker biologically inspired multi-computer.

Kier Dugan, Jeffrey S. Reeve, Andrew D. Brown, Stephen B. Furber

IET Comput. Digit. Tech., 2013

Atomic computing - a different perspective on massively parallel problems.

Andrew D. Brown, Rob Mills, Jeffrey S. Reeve, Kier Dugan, Steve B. Furber

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2012

Behavioural synthesis utilising recursive definitions.

Andrew D. Brown, D. J. D. Milton, Andrew J. Rushton, Peter R. Wilson

IET Comput. Digit. Tech., 2012

2011

Processing with a million cores.

Andrew D. Brown, Jeffrey S. Reeve, Stephen B. Furber, David R. Lester

Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011

2010

A communication infrastructure for a million processor machine.

Andrew D. Brown, Steve B. Furber, Jeff S. Reeve, Peter R. Wilson, Mark Zwolinski, John E. Chad, Luis A. Plana, David R. Lester

Proceedings of the 7th Conference on Computing Frontiers, 2010

2009

The biometric potential of transient otoacoustic emissions.

Matthew A. Swabey, Paul Chambers, Mark E. Lutman, Neil M. White, John E. Chad, Andrew D. Brown, Stephen P. Beeby

Int. J. Biom., 2009

Biologically-Inspired Massively-Parallel Architectures - Computing Beyond a Million Processors.

Stephen B. Furber, Andrew D. Brown

Proceedings of the Ninth International Conference on Application of Concurrency to System Design, 2009

2008

SpiNNaker: The Design Automation Problem.

Andrew D. Brown, David R. Lester, Luis A. Plana, Steve B. Furber, Peter R. Wilson

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Yield model characterization for analog integrated circuit using Pareto-optimal surface.

Sawal Ali, Reuben Wilcock, Peter R. Wilson, Andrew D. Brown

Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

A New Approach for Combining Yield and Performance in Behavioural Models for Analogue Integrated Circuits.

Sawal Ali, Reuben Wilcock, Peter R. Wilson, Andrew D. Brown

Proceedings of the Design, Automation and Test in Europe, 2008

Behavioural Simulation and Synthesis of Biological Neuron Systems using VHDL.

Julian A. Bailey, Peter R. Wilson, Andrew D. Brown, John E. Chad

Proceedings of the 2008 IEEE International Behavioral Modeling and Simulation Workshop, 2008

2006

Power aware learning for class AB analogue VLSI neural network.

Sankalp S. Modi, Peter R. Wilson, Andrew D. Brown

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

On-chip and inter-chip networks for modeling large-scale neural systems.

Stephen B. Furber, Steve Temple, Andrew D. Brown

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005

Power scalable implementation of Artificial Neural Networks.

Sankalp S. Modi, Peter R. Wilson, Andrew D. Brown

Proceedings of the 12th IEEE International Conference on Electronics, 2005

2004

A behavioral synthesis system for asynchronous circuits.

Mathew A. Sacker, Andrew D. Brown, Andrew J. Rushton, Peter R. Wilson

IEEE Trans. Very Large Scale Integr. Syst., 2004

Behavioural modelling of analogue faults in VHDL-AMS - a case study.

Mark Zwolinski, Andrew D. Brown

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Multiple domain behavioral modeling using VHDL-AMS.

Peter R. Wilson, J. Neil Ross, Andrew D. Brown, Andrew J. Rushton

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Using Otoacoustic Emissions as a Biometric.

Matthew A. Swabey, Stephen P. Beeby, Andrew D. Brown, John E. Chad

Proceedings of the Biometric Authentication, First International Conference, 2004

Efficient Mixed-Domain Behavioural Modeling of Ferromagnetic Hysteresis Implemented in VHDL-AMS.

Peter R. Wilson, J. Neil Ross, Andrew D. Brown, Tom J. Kazmierski, Jerzy Baranowski

Proceedings of the 2004 Design, 2004

A General Purpose Behavioural Asynchronous Synthesis System.

Mathew A. Sacker, Andrew D. Brown, Peter R. Wilson, Andrew J. Rushton

Proceedings of the 10th International Symposium on Advanced Research in Asynchronous Circuits and Systems (ASYNC 2004), 2004

2003

The continuous-discrete interface - What does this really mean? Modelling and simulation issues.

Andrew D. Brown, Mark Zwolinski

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002

A large-scale simulation of the piriform cortex by a cell automaton-based network model.

Enric T. Claverol, Andrew D. Brown, John E. Chad

IEEE Trans. Biomed. Eng., 2002

Discrete simulation of large aggregates of neurons.

Enric T. Claverol, Andrew D. Brown, John E. Chad

Neurocomputing, 2002

Scalable cortical simulations on Beowulf architectures.

Enric T. Claverol, Andrew D. Brown, John E. Chad

Neurocomputing, 2002

Behavioural Modelling of Operational Amplifier Faults Using VHDL-AMS.

Peter R. Wilson, J. Neil Ross, Mark Zwolinski, Andrew D. Brown, Yavuz Kiliç

Proceedings of the 2002 Design, 2002

2001

Floating-point behavioral synthesis.

Zaher Abdulkarim Baidas, Andrew D. Brown, Alan Christopher Williams

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001

Relative Density Nets: A New Way to Combine Backpropagation with HMM's.

Andrew D. Brown, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Products of Hidden Markov Models.

Andrew D. Brown, Geoffrey E. Hinton

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

A parallel-connected active filter for the reduction of supply current distortion.

Don A. G. Pedder, Andrew D. Brown, J. Neil Ross, Alan Christopher Williams

IEEE Trans. Ind. Electron., 2000

BIST hardware synthesis for RTL data paths based on testcompatibility classes.

Nicola Nicolici, Bashir M. Al-Hashimi, Andrew D. Brown, Alan Christopher Williams

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2000

Cooperative Coevolution of Neural Representations.

Andrew D. Brown, Howard C. Card

Int. J. Neural Syst., 2000

1999

A contactless electrical energy transmission system.

Don A. G. Pedder, Andrew D. Brown, J. Andrew Skinner

IEEE Trans. Ind. Electron., 1999

Cooperative-Competitive Algorithms for Evolutionary Networks Classifying Noisy Digital Images.

Andrew D. Brown, Howard C. Card

Neural Process. Lett., 1999

Spiking Boltzmann Machines.

Geoffrey E. Hinton, Andrew D. Brown

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997

On-line testing of statically and dynamically scheduled synthesized systems.

Andrew D. Brown, Keith Richard Baker, Alan Christopher Williams

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1997

Evolutionary artificial neural networks for competitive learning.

Andrew D. Brown, Howard C. Card

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1992

Confidence in mixed-mode circuit simulation.

Andrew D. Brown, Mark Zwolinski, Ken G. Nichols, Tom J. Kazmierski

Comput. Aided Des., 1992

1991

A General Purpose Network Solving System.

Tom J. Kazmierski, Andrew D. Brown, Ken G. Nichols, Mark Zwolinski

Proceedings of the VLSI 91, 1991

1990

Lee router modified for global routing.

Andrew D. Brown, Mark Zwolinski

Comput. Aided Des., 1990

1987

The Reconstruction of Neurone Morphology from Thin Optical Sections - Graphical Aspects.

Andrew D. Brown, Howard V. Wheal, Edward W. Stockley

Proceedings of the 8th European Computer Graphics Conference and Exhibition, 1987