Nick Brown

According to our database, Nick Brown authored at least 70 papers between 2014 and 2024.

Collaborative distances:

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

2024

Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques.

Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash

Concurr. Comput. Pract. Exp., July, 2024

Pragma driven shared memory parallelism in Zig by supporting OpenMP loop directives.

David Kacs, Joseph Lee, Justs Zarins, Nick Brown

CoRR, 2024

RISC-V for HPC: Where we are and where we need to go.

Nick Brown

CoRR, 2024

Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC.

Nick Brown, Maurice Jamieson

CoRR, 2024

Implementing OpenMP for Zig to Enable Its Use in HPC Context.

Davids Kacs, Nick Brown, Joseph Lee

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

Evaluating Versal AI Engines for Option Price Discovery in Market Risk Analysis.

Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Experiences of running an HPC RISC-V testbed.

Nick Brown, Maurice Jamieson, Joseph K. L. Lee

CoRR, 2023

Morpheus unleashed: Fast cross-platform SpMV on emerging architectures.

Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland

CoRR, 2023

Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration.

Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano

Concurr. Comput. Pract. Exp., 2023

VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing.

Markus Flatken, Artur Podobas, Riccardo Fellegara, Achim Basermann, Johannes Holke, David Knapp, Max Kontak, Christian Krullikowski, Michael Nolde, Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Steven Wei Der Chien, Stefano Markidis, Pierre Guillou, Julien Tierny, Jules Vidal, Charles Gueunet, Johannes Günther, Miroslaw Pawlowski, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Jean-Pierre Chaboureau, Miguel Mendes, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, Andreas Gerndt

IEEE Access, 2023

Test-Driving RISC-V Vector Hardware for HPC.

Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus

Proceedings of the High Performance Computing, 2023

Backporting RISC-V Vector Assembly.

Joseph K. L. Lee, Maurice Jamieson, Nick Brown

Proceedings of the High Performance Computing, 2023

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Exploring the Versal AI Engines for Accelerating Stencil-based Atmospheric Advection Simulation.

Nick Brown

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

NVRAM as an Enabler to New Horizons in Graph Processing.

Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull

SN Comput. Sci., 2022

TensorFlow as a DSL for stencil-based computation on the Cerebras Wafer Scale Engine.

Nick Brown, Brandon Echols, Justs Zarins, Tobias Grosser

CoRR, 2022

Predicting batch queue job wait times for informed scheduling of urgent HPC workloads.

Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash

CoRR, 2022

Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making.

Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs.

Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown

Proceedings of the HEART 2022: International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, Tsukuba, Japan, June 9, 2022

Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs.

Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown

Proceedings of the IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2022

A programming model for developing Application Specific Dataflow Machines on FPGAs.

Nick Brown

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

Programming Abstractions for Preemptive Scheduling on FPGAs Using Partial Reconfiguration.

Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Performance of the Vipera Framework for DSLs on Micro-Core Architectures.

Maurice Jamieson, Nick Brown

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Exploring the Suitability of the Cerebras Wafer Scale Engine for Stencil-Based Computation Codes.

Nick Brown, Brandon Echols, Justs Zarins, Tobias Grosser

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2021

Application specific dataflow machine construction for programming FPGAs via Lucent.

Nick Brown

CoRR, 2021

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

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, 2021

I feel the need for speed: Exploiting latest generation FPGAs in providing new capabilities for high frequency trading.

Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown

Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021

Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations.

Nick Brown

Proceedings of the IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2021

Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques.

Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs.

Nick Brown

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Compact native code generation for dynamic languages on micro-core architectures.

Maurice Jamieson, Nick Brown

Proceedings of the CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, 2021

2020

High level programming abstractions for leveraging hierarchical memories with micro-core architectures.

Maurice Jamieson, Nick Brown

J. Parallel Distributed Comput., 2020

ePython: An implementation of Python for the many-core Epiphany coprocessor.

Nick Brown

CoRR, 2020

Porting the microphysics model CASIM to GPU and KNL Cray machines.

Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway

CoRR, 2020

Extended abstract: Type oriented programming for task based parallelism.

Nick Brown, Ludovic Anthony Richard Capelli, J. Mark Bull

CoRR, 2020

A comparison of techniques for solving the Poisson equation in CFD.

Nick Brown

CoRR, 2020

Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines.

Nick Brown, Michael R. Bareford, Michèle Weiland

CoRR, 2020

Driving asynchronous distributed tasks with events.

Nick Brown, Oliver Thomson Brown, J. Mark Bull

CoRR, 2020

Using machine learning to reduce ensembles of geological models for oil and gas exploration.

Anna Roubícková, Lucy MacGregor, Nick Brown, Oliver Thomson Brown, Mike Stewart

CoRR, 2020

Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration.

Nick Brown, Anna Roubícková, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton

CoRR, 2020

A highly scalable Met Office NERC Cloud model.

Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard, Thomas Allen, Mike Rezny

CoRR, 2020

A highly scalable approach to solving linear systems using two-stage multisplitting.

Nick Brown, Jonathan Mark Bull, Iain Bethune

CoRR, 2020

Applying Type Oriented Programming to the PGAS Memory Model.

Nick Brown

CoRR, 2020

Machine learning on Crays to optimize petrophysical workflows in oil and gas exploration.

Nick Brown, Anna Roubícková, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton

Concurr. Comput. Pract. Exp., 2020

Modelling the Earth's geomagnetic environment on Cray machines using PETSc and SLEPc.

Nick Brown, Brian Bainbridge, Ciarán Beggan, William Brown, Brian Hamilton, Susan Macmillan

Concurr. Comput. Pract. Exp., 2020

Supercomputing with MPI meets the Common Workflow Language standards: an experience report.

Rupert W. Nash, Michael R. Crusoe, Max Kontak, Nick Brown

Proceedings of the IEEE/ACM Workflows in Support of Large-Scale Science, 2020

Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython.

Maurice Jamieson, Nick Brown, Sihang Liu

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

Benchmarking micro-core architectures for detecting disasters at the edge.

Maurice Jamieson, Nick Brown

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 2020

A Bespoke Workflow Management System for Data-Driven Urgent HPC.

Gordon P. S. Gibb, Nick Brown, Rupert W. Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 2020

Exploring the acceleration of Nekbone on reconfigurable architectures.

Nick Brown

Proceedings of the 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2020

Weighing Up the New Kid on the Block: Impressions of using Vitis for HPC Software Development.

Nick Brown

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Machine Learning for Gas and Oil Exploration.

Vito Alexander Nordloh, Anna Roubícková, Nick Brown

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Investigating Applications on the A64FX.

Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?

Ludovic Anthony Richard Capelli, Zhenjiang Hu, Timothy A. K. Zakian, Nick Brown, Jonathan Mark Bull

Parallel Comput., 2019

Leveraging MPI RMA to optimize halo-swapping communications in MONC on Cray machines.

Nick Brown, Michael R. Bareford, Michèle Weiland

Concurr. Comput. Pract. Exp., 2019

The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making.

Nick Brown, Rupert Nash, Gordon Gibb, Bianca Prodan, Max Kontak, Vyacheslav Olshevsky, Wei Der Chien

Proceedings of the High Performance Computing, 2019

Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs.

Nick Brown

Proceedings of the High Performance Computing, 2019

The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing.

Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan

Proceedings of the 2019 IEEE/ACM HPC for Urgent Decision Making, 2019

iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing.

Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull

Proceedings of the 9th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2019

It's All About Data Movement: Optimising FPGA Data Access to Boost Performance.

Nick Brown, David Dolman

Proceedings of the 2019 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2019

2018

In situ data analytics for highly scalable cloud modelling on Cray machines.

Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway

Concurr. Comput. Pract. Exp., 2018

2017

Type oriented parallel programming for Exascale.

Nick Brown

Adv. Eng. Softw., 2017

2016

ePython: An Implementation of Python for the Many-Core Epiphany Co-processor.

Nick Brown

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

2015

On Processing Extreme Data.

Dana Petcu, Gabriel Iuhasz, Daniel Pop, Domenico Talia, Jesús Carretero, Radu Prodan, Thomas Fahringer, Ivan Grasso, Ramón Doallo, María J. Martín, Basilio B. Fraguela, Roman Trobec, Matjaz Depolli, Francisco Almeida Rodriguez, Francisco de Sande, Georges Da Costa, Jean-Marc Pierson, Stergios V. Anastasiadis, Aristides Bartzokas, Christos Lolis, Pedro Gonçalves, Fabrice Brito, Nick Brown

Scalable Comput. Pract. Exp., 2015

A directive based hybrid met office NERC cloud model.

Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard

Proceedings of the Second Workshop on Accelerator Programming using Directives, 2015

2014

A Type-Oriented Graph500 Benchmark.

Nick Brown

Proceedings of the Supercomputing - 29th International Conference, 2014