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Author search results
Exact matches
- Nicholas H. Brown
aka: Nick H. Brown, Nick Brown 0001
University of Cambridge, Department of Physiology, UK - Nick Brown — disambiguation page
- Nick Brown 0002
University of Edinburgh, UK
Likely matches
- Nick A. Brown
KLSS, Fairborn, OH, USA
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Publication search results
found 215 matches
- 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) - 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 - 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 - Shannon K. Gallagher
, Jasmine Ratchford
, Tyler Brooks
, Bryan P. Brown
, Eric Heim
, William R. Nichols
, Scott Mcmillan
, Swati Rallapalli
, Carol J. Smith
, Nathan M. VanHoudnos
, Nick Winski
, Andrew O. Mellinger
:
Assessing LLMs for High Stakes Applications. ICSE-SEIP 2024: 103-105 - Nick Brown, Rachel Van Campenhout, Michelle W. Clark, Benny G. Johnson:
Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks. L@S 2024: 383-387 - Albert Reuther, Nick Brown, William Arndt, Johannes P. Blaschke, Christian Boehme, Antony Chazapis, Bjoern Enders, Robert Henschel, Julian M. Kunkel, Maxime Martinasso:
Interactive and Urgent HPC: Challenges and Opportunities. CoRR abs/2401.14550 (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 abs/2402.12111 (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 abs/2404.02218 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - Nick Brown, Maurice Jamieson:
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC. CoRR abs/2406.12394 (2024) - Nick Brown:
RISC-V for HPC: Where we are and where we need to go. CoRR abs/2406.12398 (2024) - 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: 87805-87834 (2023) - Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew C. Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar
, Simona Nastase, Andrew M. Burton, James Lewis:
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. Brain Informatics 10(1): 14 (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) - Yanhui Hu
, Aram Comjean, Helen Attrill
, Giulia Antonazzo
, Jim Thurmond, Weihang Chen, Fangge Li, Tiffany Chao, Stephanie E. Mohr, Nicholas H. Brown
, Norbert Perrimon
:
PANGEA: a new gene set enrichment tool for Drosophila and common research organisms. Nucleic Acids Res. 51(W1): 419-426 (2023) - Bryn C. Loftness, Donna M. Rizzo, Julia Halvorson-Phelan, Aisling O'Leary, Shania Prytherch
, Carter Bradshaw, Anna Jane Brown, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis:
Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. EMBC 2023: 1-4 - Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge:
Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP 2023: 6543-6558 - Nick Brown
:
Exploring the Versal AI Engines for Accelerating Stencil-based Atmospheric Advection Simulation. FPGA 2023: 91-97 - 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 - Zakia Batool Turabee
, Sean Haddick
, David J. Brown
, Sarah Seymour-Smith
, Mufti Mahmud
, Andrew M. Burton
, Nicholas Shopland
:
The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. HCI (11) 2023: 453-468 - Jacob Alexander Markson Brown, Xi Jiang
, Van Hong Tran
, Arjun Nitin Bhagoji
, Nguyen Phong Hoang
, Nick Feamster
, Prateek Mittal
, Vinod Yegneswaran
:
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. KDD 2023: 3750-3761 - Luke E. Osborn, Breanne P. Christie, Adam C. G. Crego, Dayann D'almeida, David P. McMullen, Robert W. Nickl, Ambarish S. Pawar, Jeremy D. Brown
, Brock A. Wester, Chaz Firestone, Pablo A. Celnik, Matthew S. Fifer
, Francesco V. Tenore:
Cortical Response to Expectation of Tactile Stimulation from External Anthropomorphic and Non-Anthropomorphic Systems. NER 2023: 1-4 - 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 - 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 - 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 - Rachel Van Campenhout
, Michelle W. Clark, Jeffrey S. Dittel, Nick Brown, Richard Benton, Benny G. Johnson:
Exploring Student Persistence with Automatically Generated Practice through Interaction Patterns. SoftCOM 2023: 1-6 - Joseph K. L. Lee
, Maurice Jamieson
, Nick Brown
:
Backporting RISC-V Vector Assembly. ISC Workshops 2023: 433-443 - Joseph K. L. Lee
, Maurice Jamieson
, Nick Brown
, Ricardo Jesus
:
Test-Driving RISC-V Vector Hardware for HPC. ISC Workshops 2023: 419-432 - 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] - Gabriel Rodriguez-Canal
, Nick Brown, Yuri Torres, Arturo González-Escribano:
Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration. CoRR abs/2301.07615 (2023)
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