Nick Brown

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 95

Top Topics

Poisson Equation

Highly Scalable

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus
Evaluating Versal AI Engines for Option Price Discovery in Market Risk Analysis. FPGA (2024)
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
A shared compilation stack for distributed-memory parallelism in stencil DSLs. ASPLOS (3) (2024)
Nick Brown
RISC-V for HPC: Where we are and where we need to go. CoRR (2024)
Mark Klaisoongnoen, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus
Evaluating Versal AI Engines for option price discovery in market risk analysis. CoRR (2024)
Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash
Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques. Concurr. Comput. Pract. Exp. 36 (15) (2024)
Davids Kacs, Nick Brown, Joseph Lee
Implementing OpenMP for Zig to Enable Its Use in HPC Context. ICPP Workshops (2024)
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
A shared compilation stack for distributed-memory parallelism in stencil DSLs. CoRR (2024)
Nick Brown, Maurice Jamieson
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC. CoRR (2024)
Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus
Test-driving RISC-V Vector hardware for HPC. CoRR (2023)
Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus
Fortran High-Level Synthesis: Reducing the Barriers to Accelerating HPC Codes on FPGAs. FPL (2023)
Nick Brown, Maurice Jamieson, Joseph K. L. Lee
Experiences of running an HPC RISC-V testbed. CoRR (2023)
Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus
Test-Driving RISC-V Vector Hardware for HPC. ISC Workshops (2023)
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
VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 11 (2023)
Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias Grosser
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang. SC Workshops (2023)
Joseph K. L. Lee, Maurice Jamieson, Nick Brown
Backporting RISC-V Vector assembly. CoRR (2023)
Joseph K. L. Lee, Maurice Jamieson, Nick Brown
Backporting RISC-V Vector Assembly. ISC Workshops (2023)
Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Emilien Bauer, Anton Lydike, Tobias Grosser
Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA. SC Workshops (2023)
Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures. CoRR (2023)
Gabriel Rodriguez-Canal, Nick Brown, Tim Dykes, Jessica R. Jones, Utz-Uwe Haus
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs. CoRR (2023)
Nick Brown, Maurice Jamieson, Joseph K. L. Lee, Paul Wang
Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU. SC Workshops (2023)
Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Emilien Bauer, Anton Lydike, Tobias Grosser
Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA. CoRR (2023)
Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias Grosser
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang. CoRR (2023)
Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano
Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration. Concurr. Comput. Pract. Exp. 35 (25) (2023)
Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown
Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs. CoRR (2022)
Nick Brown, Brandon Echols, Justs Zarins, Tobias Grosser
Exploring the Suitability of the Cerebras Wafer Scale Engine for Stencil-Based Computation Codes. Euro-Par Workshops (2022)
Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown
Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs. H2RC@SC (2022)
Maurice Jamieson, Nick Brown
Performance of the Vipera framework for DSLs on micro-core architectures. CoRR (2022)
Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash
Predicting batch queue job wait times for informed scheduling of urgent HPC workloads. CoRR (2022)
Maurice Jamieson, Nick Brown
Performance of the Vipera Framework for DSLs on Micro-Core Architectures. Euro-Par Workshops (2022)
Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull
NVRAM as an Enabler to New Horizons in Graph Processing. SN Comput. Sci. 3 (5) (2022)
Nick Brown
A programming model for developing Application Specific Dataflow Machines on FPGAs. FCCM (2022)
Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown
Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs. CoRR (2022)
Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown
Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs. HEART (2022)
Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt
Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. ISC Workshops (2022)
Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Artur Podobas, Wei Der Chien, Stefano Markidis, Markus Flatken, Andreas Gerndt
Workflows to driving high-performance interactive supercomputing for urgent decision making. CoRR (2022)
Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown
I feel the need for speed: Exploiting latest generation FPGAs in providing new capabilities for high frequency trading. HEART (2021)
Maurice Jamieson, Nick Brown
Compact native code generation for dynamic languages on micro-core architectures. CC (2021)
Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. CoRR (2021)
Nick Brown
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. CLUSTER (2021)
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
Utilising urgent computing to tackle the spread of mosquito-borne diseases. CoRR (2021)
Nick Brown
Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations. H2RC@SC (2021)
Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. CLUSTER (2021)
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
Utilising urgent computing to tackle the spread of mosquito-borne diseases. UrgentHPC@SC (2021)
Maurice Jamieson, Nick Brown
Compact Native Code Generation for Dynamic Languages on Micro-core Architectures. CoRR (2021)
Nick Brown
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. CoRR (2021)
Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull
iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing. CoRR (2020)
Gordon P. S. Gibb, Nick Brown, Rupert W. Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak
A Bespoke Workflow Management System for Data-Driven Urgent HPC. CoRR (2020)
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard
A directive based hybrid Met Office NERC Cloud model. CoRR (2020)
Gordon P. S. Gibb, Nick Brown, Rupert W. Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak
A Bespoke Workflow Management System for Data-Driven Urgent HPC. UrgentHPC@SC (2020)
Vito Alexander Nordloh, Anna Roubícková, Nick Brown
Machine Learning for Gas and Oil Exploration. ECAI (2020)
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
Investigating Applications on the A64FX. CLUSTER (2020)
Rupert W. Nash, Michael R. Crusoe, Max Kontak, Nick Brown
Supercomputing with MPI meets the Common Workflow Language standards: an experience report. WORKS@SC (2020)
Vito Alexander Nordloh, Anna Roubícková, Nick Brown
Machine Learning for Gas and Oil Exploration. CoRR (2020)
Nick Brown
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development. CoRR (2020)
Rupert W. Nash, Nick Brown, Michael R. Crusoe, Max Kontak
Supercomputing with MPI meets the Common Workflow Language standards: an experience report. CoRR (2020)
Nick Brown, Brian Bainbridge, Ciarán Beggan, William Brown, Brian Hamilton, Susan Macmillan
Modelling the Earth's geomagnetic environment on Cray machines using PETSc and SLEPc. Concurr. Comput. Pract. Exp. 32 (20) (2020)
Nick Brown
Exploring the acceleration of Nekbone on reconfigurable architectures. CoRR (2020)
Nick Brown, David Dolman
It's all about data movement: Optimising FPGA data access to boost performance. CoRR (2020)
Nick Brown
Applying Type Oriented Programming to the PGAS Memory Model. CoRR (2020)
Nick Brown, Anna Roubícková, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton
Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration. CoRR (2020)
Nick Brown
A comparison of techniques for solving the Poisson equation in CFD. CoRR (2020)
Maurice Jamieson, Nick Brown
Benchmarking micro-core architectures for detecting disasters at the edge. UrgentHPC@SC (2020)
Nick Brown, Michael R. Bareford, Michèle Weiland
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines. CoRR (2020)
Maurice Jamieson, Nick Brown, Sihang Liu
Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython. SciPy (2020)
Maurice Jamieson, Nick Brown
Benchmarking micro-core architectures for detecting disasters at the edge. CoRR (2020)
Anna Roubícková, Lucy MacGregor, Nick Brown, Oliver Thomson Brown, Mike Stewart
Using machine learning to reduce ensembles of geological models for oil and gas exploration. CoRR (2020)
Ludovic Anthony Richard Capelli, Zhenjiang Hu, Timothy A. K. Zakian, Nick Brown, J. Mark Bull
iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose? CoRR (2020)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
In-situ data analytics for highly scalable cloud modelling on Cray machines. CoRR (2020)
Nick Brown, Brian Bainbridge, Ciarán Beggan, Susan Macmillan, William Brown, Brian Hamilton
Modelling the earth's geomagnetic environment on Cray machines using PETSc and SLEPc. CoRR (2020)
Nick Brown, Oliver Thomson Brown, J. Mark Bull
Driving asynchronous distributed tasks with events. CoRR (2020)
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
Investigating Applications on the A64FX. CoRR (2020)
Maurice Jamieson, Nick Brown
High level programming abstractions for leveraging hierarchical memories with micro-core architectures. J. Parallel Distributed Comput. 138 (2020)
Nick Brown
A Type-Oriented Graph500 Benchmark. CoRR (2020)
Nick Brown
Exploring the acceleration of Nekbone on reconfigurable architectures. H2RC@SC (2020)
Nick Brown
Exploring the acceleration of the Met Office NERC Cloud model using FPGAs. CoRR (2020)
Nick Brown, Jonathan Mark Bull, Iain Bethune
A highly scalable approach to solving linear systems using two-stage multisplitting. CoRR (2020)
Nick Brown
ePython: An implementation of Python for the many-core Epiphany coprocessor. CoRR (2020)
Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway
Porting the microphysics model CASIM to GPU and KNL Cray machines. CoRR (2020)
Nick Brown, Anna Roubícková, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton
Machine learning on Crays to optimize petrophysical workflows in oil and gas exploration. Concurr. Comput. Pract. Exp. 32 (20) (2020)
Maurice Jamieson, Nick Brown
High level programming abstractions for leveraging hierarchical memories with micro-core architectures. CoRR (2020)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard, Thomas Allen, Mike Rezny
A highly scalable Met Office NERC Cloud model. CoRR (2020)
Nick Brown, Ludovic Anthony Richard Capelli, J. Mark Bull
Extended abstract: Type oriented programming for task based parallelism. CoRR (2020)
Nick Brown, Rupert Nash, Gordon Gibb, Bianca Prodan, Max Kontak, Vyacheslav Olshevsky, Wei Der Chien
The role of interactive super-computing in using HPC for urgent decision making. CoRR (2020)
Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan
The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing. CoRR (2020)
Ludovic Anthony Richard Capelli, Zhenjiang Hu, Timothy A. K. Zakian, Nick Brown, Jonathan Mark Bull
iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose? Parallel Comput. 86 (2019)
Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull
iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing. IA3@SC (2019)
Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan
The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing. UrgentHPC@SC (2019)
Nick Brown, Michael R. Bareford, Michèle Weiland
Leveraging MPI RMA to optimize halo-swapping communications in MONC on Cray machines. Concurr. Comput. Pract. Exp. 31 (16) (2019)
Nick Brown, Rupert Nash, Gordon Gibb, Bianca Prodan, Max Kontak, Vyacheslav Olshevsky, Wei Der Chien
The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making. ISC Workshops (2019)
Nick Brown, David Dolman
It's All About Data Movement: Optimising FPGA Data Access to Boost Performance. H2RC@SC (2019)
Nick Brown
Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs. ISC Workshops (2019)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
In situ data analytics for highly scalable cloud modelling on Cray machines. Concurr. Comput. Pract. Exp. 30 (1) (2018)
Nick Brown
Type oriented parallel programming for Exascale. Adv. Eng. Softw. 111 (2017)
Nick Brown
ePython: An Implementation of Python for the Many-Core Epiphany Co-processor. PyHPC@SC (2016)
Nick Brown
Type oriented parallel programming for Exascale. CoRR (2016)
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard
A directive based hybrid met office NERC cloud model. WACCPD@SC (2015)
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
On Processing Extreme Data. Scalable Comput. Pract. Exp. 16 (4) (2015)
Nick Brown
A Type-Oriented Graph500 Benchmark. ISC (2014)