How open science helps researchers succeed EC McKiernan, PE Bourne, TC Brown, S Buck, A Kenall, J Lin, ... eLife 5, 1-26, 2016 | 831 | 2016 |
The parallel c++ statistical library for bayesian inference: Queso D McDougall, N Malaya, RD Moser arXiv preprint arXiv:1507.00398, 2015 | 11 | 2015 |
Introduction to amd gpu programming with hip P Bauman, N Chalmers, N Curtis, C Freitag, J Greathouse, N Malaya, ... Presentation at Oak Ridge National Laboratory. Online at: https://www. olcf …, 2019 | 10 | 2019 |
A stochastic operator approach to model inadequacy with applications to contaminant transport T Portone, D McDougall, RD Moser arXiv preprint arXiv:1702.07779, 2017 | 10 | 2017 |
Kalman filtering and smoothing for linear wave equations with model error W Lee, D McDougall, AM Stuart Inverse Problems 27 (9), 095008, 2011 | 9* | 2011 |
HipBone: A performance-portable graphics processing unit-accelerated C++ version of the NekBone benchmark N Chalmers, A Mishra, D McDougall, T Warburton The International Journal of High Performance Computing Applications 37 (5 …, 2023 | 8 | 2023 |
The QUESO Library, User's Manual KC Estacio-Hiroms, EE Prudencio, NP Malaya, M Vohra, D McDougall arXiv preprint arXiv:1611.07521, 2016 | 8 | 2016 |
Experiences readying applications for Exascale N Malaya, B Messer, J Glenski, A Georgiadou, J Lietz, K Gottiparthi, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 7 | 2023 |
A Research Retrospective on AMD's Exascale Computing Journey GH Loh, MJ Schulte, M Ignatowski, V Adhinarayanan, S Aga, D Aguren, ... Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 7 | 2023 |
Optimal strategies for the control of autonomous vehicles in data assimilation D McDougall, RO Moore Physica D: Nonlinear Phenomena 351, 42-52, 2017 | 7 | 2017 |
Pilot trials of PDF symbology as a means of transfering data on blood units between transfusion centres MM Fisher, L Hitchins, D McDougall, G Sherriff, J Brown, A Blakeman, ... Transfusion Medicine 5 (1), 63-67, 1995 | 5 | 1995 |
Rodgers, Peter (ed.)." How open science helps researchers succeed PE Bourne, CT Brown, S Buck, A Kenall, J Lin, D McDougall, BA Nosek, ... eLife 5, e16800, 0 | 5 | |
Experiences porting scientific applications to the intel (knl) xeon phi platform N Malaya, D McDougall, C Michoski, M Lee, CS Simmons Proceedings of the Practice and Experience in Advanced Research Computing …, 2017 | 4 | 2017 |
HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark N Chalmers, A Mishra, D McDougall, T Warburton arXiv preprint arXiv:2202.12477, 2022 | 3 | 2022 |
Uncertainty for calculating transport on Titan: A probabilistic description of bimolecular diffusion parameters S Plessis, D McDougall, K Mandt, T Greathouse, A Luspay-Kuti Planetary and Space Science 117, 377-384, 2015 | 3 | 2015 |
Assimilating Eulerian and Lagrangian data to quantify flow uncertainty in testbed oceanography models D McDougall University of Warwick, 2012 | 3 | 2012 |
Optimizing high-performance linpack for exascale accelerated architectures N Chalmers, J Kurzak, D McDougall, P Bauman Proceedings of the International Conference for High Performance Computing …, 2023 | 2 | 2023 |
ECP Milestone Report High‐order algorithmic developments and optimizations for more robust exascale applications WBS 2.2. 6.06 T Kolev, P Fischer, A Abdelfattah, N Beams, J Brown, JS Camier, ... | 2 | 2022 |
Amd gpu hardware basics R van Oostrum, N Chalmers, D McDougall, P Bauman, N Curtis, N Malaya, ... Presentation at Oak Ridge National Laboratory. Online at: https://www. olcf …, 2019 | 2 | 2019 |
Decreasing flow uncertainty in Bayesian inverse problems through Lagrangian drifter control D McDougall, CKRT Jones Mathematical Paradigms of Climate Science, 215-228, 2016 | 2 | 2016 |