Ab initio determination of light hadron masses S Dürr, Z Fodor, J Frison, C Hoelbling, R Hoffmann, SD Katz, S Krieg, ...
Science 322 (5905), 1224-1227, 2008
1052 2008 High-precision scale setting in lattice QCD S Borsanyi, S Dürr, Z Fodor, C Hoelbling, SD Katz, S Krieg, T Kurth, ...
Journal of High Energy Physics 2012 (9), 10, 2012
530 2012 Exascale deep learning for climate analytics T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ...
Proceedings of the International Conference for High Performance Computing …, 2018
330 2018 A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics CC Chang, AN Nicholson, E Rinaldi, E Berkowitz, N Garron, DA Brantley, ...
Nature 558 (7708), 91, 2018
234 2018 Lattice QCD at the physical point: light quark masses S Durr, Z Fodor, C Hoelbling, SD Katz, S Krieg, T Kurth, L Lellouch, ...
Physics Letters B 701 (2), 265-268, 2011
206 2011 Sigma term and strangeness content of octet baryons S Dürr, Z Fodor, T Hemmert, C Hoelbling, J Frison, SD Katz, S Krieg, ...
Physical Review D 85 (1), 014509, 2012
168 2012 Two-nucleon higher partial-wave scattering from lattice QCD E Berkowitz, T Kurth, A Nicholson, B Joó, E Rinaldi, M Strother, ...
Physics Letters B 765, 285-292, 2017
119 2017 Lattice QCD at the physical point: Simulation and analysis details S Dürr, Z Fodor, C Hoelbling, SD Katz, S Krieg, T Kurth, L Lellouch, ...
Journal of high energy physics 2011 (8), 148, 2011
117 2011 Precision computation of the kaon bag parameter S Dürr, Z Fodor, C Hoelbling, SD Katz, S Krieg, T Kurth, L Lellouch, ...
Physics Letters B 705 (5), 477-481, 2011
116 2011 Ratio S Dürr, Z Fodor, C Hoelbling, SD Katz, S Krieg, T Kurth, L Lellouch, ...
Physical Review D 81 (5), 054507, 2010
113 2010 Precision study of the SU (3) topological susceptibility in the continuum S Dürr, Z Fodor, C Hoelbling, T Kurth
Journal of High Energy Physics 2007 (04), 055, 2007
100 2007 Lattice QCD at the physical point meets S Dürr, Z Fodor, C Hoelbling, S Krieg, T Kurth, L Lellouch, T Lippert, ...
Physical Review D 90 (11), 114504, 2014
98 2014 Deep learning at 15PF: supervised and semi-supervised classification for scientific data T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ...
Proceedings of the International Conference for High Performance Computing …, 2017
96 2017 Heavy physics contributions to neutrinoless double beta decay from QCD A Nicholson, E Berkowitz, H Monge-Camacho, D Brantley, N Garron, ...
Physical review letters 121 (17), 172501, 2018
91 2018 On the Feynman-Hellmann theorem in quantum field theory and the calculation of matrix elements C Bouchard, CC Chang, T Kurth, K Orginos, A Walker-Loud
Physical Review D 96 (1), 014504, 2017
90 2017 Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor B Cook, T Kurth, M Lobet, T Malas, JL Vay, H Vincenti
High Performance Computing: ISC High Performance 2016 International …, 2016
85 2016 Applying the roofline performance model to the intel xeon phi knights landing processor D Doerfler, J Deslippe, S Williams, L Oliker, B Cook, T Kurth, M Lobet, ...
International Conference on High Performance Computing, 339-353, 2016
85 2016 Scaling study of dynamical smeared-link clover fermions S Dürr, Z Fodor, C Hoelbling, R Hoffmann, SD Katz, S Krieg, T Kurth, ...
Physical Review D 79 (1), 014501, 2009
75 2009 Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC W Bhimji, SA Farrell, T Kurth, M Paganini, E Racah
Journal of Physics: Conference Series 1085 (4), 042034, 2018
58 2018 arXiv: Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC W Bhimji, E Racah, T Kurth, SA Farrell, M Paganini
58 * 2017 