default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNick Brown 0002
Person information
- affiliation: University of Edinburgh, UK
- affiliation (PhD 2009): Durham University, Faculty of Science, UK
Other persons with the same name
- Nick Brown — disambiguation page
- Nicholas H. Brown
![[0000-0002-8958-7017]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8958-7017")
(aka: Nick H. Brown, Nick Brown 0001) — University of Cambridge, Department of Physiology, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j12]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)- [c39]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: 38-56 - [c38]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: 176-182 - [c37]Davids Kacs, Nick Brown, Joseph Lee:
Implementing OpenMP for Zig to Enable Its Use in HPC Context. ICPP Workshops 2024: 116-117 - [i58]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 abs/2402.12111 (2024) - [i57]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 abs/2404.02218 (2024) - [i56]Nick Brown, Maurice Jamieson:
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC. CoRR abs/2406.12394 (2024) - [i55]Nick Brown:
RISC-V for HPC: Where we are and where we need to go. CoRR abs/2406.12398 (2024) - [i54]Davids Kacs, Nick Brown, Joseph Lee:
Implementing OpenMP for Zig to enable its use in HPC context. CoRR abs/2408.09902 (2024) - [i53]David Kacs, Joseph Lee, Justs Zarins, Nick Brown:
Pragma driven shared memory parallelism in Zig by supporting OpenMP loop directives. CoRR abs/2409.20148 (2024) - 2023
- [j11]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: 87805-87834 (2023) - [j10]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) - [c36]Nick Brown:
Exploring the Versal AI Engines for Accelerating Stencil-based Atmospheric Advection Simulation. FPGA 2023: 91-97 - [c35]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: 10-18 - [c34]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: 556-565 - [c33]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: 904-913 - [c32]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: 1566-1574 - [c31]Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus:
Test-Driving RISC-V Vector Hardware for HPC. ISC Workshops 2023: 419-432 - [c30]Joseph K. L. Lee, Maurice Jamieson, Nick Brown:
Backporting RISC-V Vector Assembly. ISC Workshops 2023: 433-443 - [e1]Jeremy Singer, Yehia Elkhatib, Dora Blanco Heras, Patrick Diehl, Nick Brown, Aleksandar Ilic:
Euro-Par 2022: Parallel Processing Workshops - Euro-Par 2022 International Workshops, Glasgow, UK, August 22-26, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13835, Springer 2023, ISBN 978-3-031-31208-3 [contents] - [i52]Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano:
Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration. CoRR abs/2301.07615 (2023) - [i51]Nick Brown:
Exploring the Versal AI engines for accelerating stencil-based atmospheric advection simulation. CoRR abs/2301.13016 (2023) - [i50]Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland:
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures. CoRR abs/2304.09511 (2023) - [i49]Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus:
Test-driving RISC-V Vector hardware for HPC. CoRR abs/2304.10319 (2023) - [i48]Joseph K. L. Lee, Maurice Jamieson, Nick Brown:
Backporting RISC-V Vector assembly. CoRR abs/2304.10324 (2023) - [i47]Nick Brown, Maurice Jamieson, Joseph K. L. Lee:
Experiences of running an HPC RISC-V testbed. CoRR abs/2305.00512 (2023) - [i46]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 abs/2308.13274 (2023) - [i45]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. CoRR abs/2309.00381 (2023) - [i44]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 abs/2310.01882 (2023) - [i43]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 abs/2310.01914 (2023) - 2022
- [j9]Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull:
NVRAM as an Enabler to New Horizons in Graph Processing. SN Comput. Sci. 3(5): 385 (2022) - [c29]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: 51-65 - [c28]Maurice Jamieson, Nick Brown:
Performance of the Vipera Framework for DSLs on Micro-Core Architectures. Euro-Par Workshops 2022: 66-79 - [c27]Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano:
Programming Abstractions for Preemptive Scheduling on FPGAs Using Partial Reconfiguration. Euro-Par Workshops 2022: 133-144 - [c26]Nick Brown:
A programming model for developing Application Specific Dataflow Machines on FPGAs. FCCM 2022: 1 - [c25]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: 18-27 - [c24]Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown:
Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs. HEART 2022: 95-101 - [c23]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: 233-244 - [i42]Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash:
Predicting batch queue job wait times for informed scheduling of urgent HPC workloads. CoRR abs/2204.13543 (2022) - [i41]Mark Klaisoongnoen, Nick Brown, Oliver Thomson Brown:
Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs. CoRR abs/2206.03719 (2022) - [i40]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 abs/2206.14103 (2022) - [i39]Maurice Jamieson, Nick Brown:
Performance of the Vipera framework for DSLs on micro-core architectures. CoRR abs/2209.00894 (2022) - [i38]Gabriel Rodriguez-Canal, Nick Brown, Yuri Torres, Arturo González-Escribano:
Programming abstractions for preemptive scheduling in FPGAs using partial reconfiguration. CoRR abs/2209.04410 (2022) - [i37]Nick Brown, Brandon Echols, Justs Zarins, Tobias Grosser:
TensorFlow as a DSL for stencil-based computation on the Cerebras Wafer Scale Engine. CoRR abs/2210.04795 (2022) - 2021
- [c22]Maurice Jamieson, Nick Brown:
Compact native code generation for dynamic languages on micro-core architectures. CC 2021: 131-140 - [c21]Nick Brown:
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. CLUSTER 2021: 767-774 - [c20]Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown:
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. CLUSTER 2021: 775-778 - [c19]Nick Brown:
Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations. H2RC@SC 2021: 9-20 - [c18]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: 15:1-15:2 - [c17]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: 36-44 - [i36]Maurice Jamieson, Nick Brown:
Compact Native Code Generation for Dynamic Languages on Micro-core Architectures. CoRR abs/2102.02109 (2021) - [i35]Nick Brown:
Application specific dataflow machine construction for programming FPGAs via Lucent. CoRR abs/2104.04741 (2021) - [i34]Nick Brown:
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. CoRR abs/2107.13500 (2021) - [i33]Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown:
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. CoRR abs/2108.03982 (2021) - [i32]Nick Brown:
Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations. CoRR abs/2111.05651 (2021) - [i31]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 abs/2111.05654 (2021) - 2020
- [j8]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) - [j7]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) - [j6]Maurice Jamieson, Nick Brown:
High level programming abstractions for leveraging hierarchical memories with micro-core architectures. J. Parallel Distributed Comput. 138: 128-138 (2020) - [c16]Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. CLUSTER 2020: 549-558 - [c15]Vito Alexander Nordloh, Anna Roubícková, Nick Brown:
Machine Learning for Gas and Oil Exploration. ECAI 2020: 3009-3016 - [c14]Nick Brown:
Weighing Up the New Kid on the Block: Impressions of using Vitis for HPC Software Development. FPL 2020: 335-340 - [c13]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: 10-20 - [c12]Nick Brown:
Exploring the acceleration of Nekbone on reconfigurable architectures. H2RC@SC 2020: 19-28 - [c11]Maurice Jamieson, Nick Brown:
Benchmarking micro-core architectures for detecting disasters at the edge. UrgentHPC@SC 2020: 27-35 - [c10]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: 107-115 - [c9]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: 17-24 - [i30]Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. CoRR abs/2009.11806 (2020) - [i29]Nick Brown:
Applying Type Oriented Programming to the PGAS Memory Model. CoRR abs/2009.12637 (2020) - [i28]Nick Brown, Jonathan Mark Bull, Iain Bethune:
A highly scalable approach to solving linear systems using two-stage multisplitting. CoRR abs/2009.12638 (2020) - [i27]Nick Brown:
A Type-Oriented Graph500 Benchmark. CoRR abs/2009.12845 (2020) - [i26]Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard, Thomas Allen, Mike Rezny:
A highly scalable Met Office NERC Cloud model. CoRR abs/2009.12849 (2020) - [i25]Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard:
A directive based hybrid Met Office NERC Cloud model. CoRR abs/2009.12850 (2020) - [i24]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 abs/2010.00283 (2020) - [i23]Nick Brown:
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development. CoRR abs/2010.00289 (2020) - [i22]Rupert W. Nash, Nick Brown, Michael R. Crusoe, Max Kontak:
Supercomputing with MPI meets the Common Workflow Language standards: an experience report. CoRR abs/2010.00422 (2020) - [i21]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 abs/2010.01542 (2020) - [i20]Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan:
The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing. CoRR abs/2010.01543 (2020) - [i19]Nick Brown:
Exploring the acceleration of the Met Office NERC Cloud model using FPGAs. CoRR abs/2010.01545 (2020) - [i18]Nick Brown, David Dolman:
It's all about data movement: Optimising FPGA data access to boost performance. CoRR abs/2010.01547 (2020) - [i17]Maurice Jamieson, Nick Brown:
High level programming abstractions for leveraging hierarchical memories with micro-core architectures. CoRR abs/2010.01548 (2020) - [i16]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 abs/2010.02087 (2020) - [i15]Vito Alexander Nordloh, Anna Roubícková, Nick Brown:
Machine Learning for Gas and Oil Exploration. CoRR abs/2010.04186 (2020) - [i14]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 abs/2010.08774 (2020) - [i13]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 abs/2010.08775 (2020) - [i12]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 abs/2010.08781 (2020) - [i11]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 abs/2010.12328 (2020) - [i10]Nick Brown, Oliver Thomson Brown, J. Mark Bull:
Driving asynchronous distributed tasks with events. CoRR abs/2010.13432 (2020) - [i9]Nick Brown, Michael R. Bareford, Michèle Weiland:
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines. CoRR abs/2010.13437 (2020) - [i8]Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway:
In-situ data analytics for highly scalable cloud modelling on Cray machines. CoRR abs/2010.14127 (2020) - [i7]Nick Brown:
A comparison of techniques for solving the Poisson equation in CFD. CoRR abs/2010.14132 (2020) - [i6]Nick Brown, Ludovic Anthony Richard Capelli, J. Mark Bull:
Extended abstract: Type oriented programming for task based parallelism. CoRR abs/2010.14133 (2020) - [i5]Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway:
Porting the microphysics model CASIM to GPU and KNL Cray machines. CoRR abs/2010.14823 (2020) - [i4]Nick Brown:
ePython: An implementation of Python for the many-core Epiphany coprocessor. CoRR abs/2010.14827 (2020) - [i3]Nick Brown:
Exploring the acceleration of Nekbone on reconfigurable architectures. CoRR abs/2011.04981 (2020) - [i2]Maurice Jamieson, Nick Brown:
Benchmarking micro-core architectures for detecting disasters at the edge. CoRR abs/2011.04983 (2020)
2010 – 2019
- 2019
- [j5]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) - [j4]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: 45-56 (2019) - [c8]Nick Brown, David Dolman:
It's All About Data Movement: Optimising FPGA Data Access to Boost Performance. H2RC@SC 2019: 1-10 - [c7]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: 24-34 - [c6]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: 45-50 - [c5]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: 528-540 - [c4]Nick Brown:
Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs. ISC Workshops 2019: 567-586 - 2018
- [j3]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) - 2017
- [j2]Nick Brown:
Type oriented parallel programming for Exascale. Adv. Eng. Softw. 111: 18-25 (2017) - 2016
- [c3]Nick Brown:
ePython: An Implementation of Python for the Many-Core Epiphany Co-processor. PyHPC@SC 2016: 59-66 - [i1]Nick Brown:
Type oriented parallel programming for Exascale. CoRR abs/1610.08691 (2016) - 2015
- [j1]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): 467-490 (2015) - [c2]Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard:
A directive based hybrid met office NERC cloud model. WACCPD@SC 2015: 7:1-7:8 - 2014
- [c1]Nick Brown:
A Type-Oriented Graph500 Benchmark. ISC 2014: 460-469
Coauthor Index
Rupert W. Nash
aka: Rupert Nash
aka: Rupert Nash
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
