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A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.

B. Austin, C. Daley, D. Doerfler, J. Deslippe, B. Cook, B. Friesen, T. Kurth, C. Yang, and N. Wright. PMBS@SC, page 63-71. IEEE, (2018)

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Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Daniel Kurth

Patricia Kurth

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A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.B. Austin, C. Daley, D. Doerfler, J. Deslippe, B. Cook, B. Friesen, T. Kurth, C. Yang, and N. Wright. PMBS@SC, page 63-71. IEEE, (2018)PCS: A Productive Computational Science Platform.D. Ojika, A. Gordon-Ross, H. Lam, S. Yoo, Y. Cui, Z. Dong, K. van Dam, S. Lee, and T. Kurth. HPCS, page 636-641. IEEE, (2019)Performance Variability on Xeon Phi.B. Cook, T. Kurth, B. Austin, S. Williams, and J. Deslippe. ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 419-429. Springer, (2017)FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural OperatorsJ. Pathak, S. Subramanian, P. Harrington, S. Raja, A. Chattopadhyay, M. Mardani, T. Kurth, D. Hall, Z. Li, K. Azizzadenesheli and 3 other author(s). (February 2022)arXiv:2202.11214 physics.A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics.C. Chang, A. Nicholson, E. Rinaldi, E. Berkowitz, N. Garron, D. Brantley, H. Monge-Camacho, C. Monahan, C. Bouchard, M. Clark and 5 other author(s). Nat., 558 (7708): 91-94 (2018)FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.T. Kurth, S. Subramanian, P. Harrington, J. Pathak, M. Mardani, D. Hall, A. Miele, K. Kashinath, and A. Anandkumar. PASC, page 13:1-13:11. ACM, (2023)A Case Study for Performance Portability Using OpenMP 4.5.R. Gayatri, C. Yang, T. Kurth, and J. Deslippe. WACCPD@SC, volume 11381 of Lecture Notes in Computer Science, page 75-95. Springer, (2018)Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.L. Yang, Prabhat, G. Karniadakis, S. Treichler, T. Kurth, K. Fischer, D. Barajas-Solano, J. Romero, V. Churavy, A. Tartakovsky and 1 other author(s). DLS@SC, page 1-11. IEEE, (2019)Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh.M. Karlbauer, N. Cresswell-Clay, R. Moreno, D. Durran, T. Kurth, and M. Butz. CoRR, (2023)FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators.T. Kurth, S. Subramanian, P. Harrington, J. Pathak, M. Mardani, D. Hall, A. Miele, K. Kashinath, and A. Anandkumar. CoRR, (2022)

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Disambiguation of "Kurth, Thorsten"

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A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.

Please choose a person to relate this publication to

Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Daniel Kurth

Patricia Kurth

Patricia Kurth

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kurth, Thorsten"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.

Please choose a person to relate this publication to

Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Daniel Kurth

Patricia Kurth

Patricia Kurth

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.