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Hierarchical Roofline Performance Analysis for Deep Learning Applications.

C. Yang, Y. Wang, T. Kurth, S. Farrell, and S. Williams. SAI (2), volume 284 of Lecture Notes in Networks and Systems, page 473-491. Springer, (2021)

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Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Richard Kurth

Wolfgang Kurth

Werner Kurth

Other publications of authors with the same name

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)Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.C. Jiang, D. Ojika, T. Kurth, Prabhat, S. Vallecorsa, B. Patel, and H. Lam. ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 587-600. Springer, (2019)Improved treatment of exact exchange in Quantum ESPRESSO.T. Barnes, T. Kurth, P. Carrier, N. Wichmann, D. Prendergast, P. Kent, and J. Deslippe. Comput. Phys. Commun., (2017)NERSC Job Script Generator.R. Shao, T. Kurth, and Z. Zhao. HUST@SC, page 41-43. IEEE, (2022)Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures.B. Cook, C. Yang, T. Kurth, and J. Deslippe. ISC Workshops, volume 11203 of Lecture Notes in Computer Science, page 463-471. Springer, (2018)Hierarchical Roofline Performance Analysis for Deep Learning Applications.C. Yang, Y. Wang, T. Kurth, S. Farrell, and S. Williams. SAI (2), volume 284 of Lecture Notes in Networks and Systems, page 473-491. Springer, (2021)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, T. Malas, J. Vay, and H. Vincenti. ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 339-353. (2016)MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.S. Farrell, M. Emani, J. Balma, L. Drescher, A. Drozd, A. Fink, G. Fox, D. Kanter, T. Kurth, P. Mattson and 33 other author(s). MLHPC@SC, page 33-45. IEEE, (2021)

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Disambiguation of "Kurth, Thorsten"

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Hierarchical Roofline Performance Analysis for Deep Learning Applications.

Please choose a person to relate this publication to

Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Richard Kurth

Wolfgang Kurth

Werner 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 Hierarchical Roofline Performance Analysis for Deep Learning Applications.

Please choose a person to relate this publication to

Thorsten Kurth

Ekkehard Thorsten Georg Kurth

Richard Kurth

Wolfgang Kurth

Werner 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

Hierarchical Roofline Performance Analysis for Deep Learning Applications.