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167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.

R. Patton, J. Johnston, S. Young, C. Schuman, D. March, T. Potok, D. Rose, S. Lim, T. Karnowski, M. Ziatdinov, and S. Kalinin. SC, page 50:1-50:11. IEEE / ACM, (2018)

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Travis Gagie

Matthew Johnston

Travis Simpkins

Thomas Johnston

Lee Johnston

Other publications of authors with the same name

Early experiences on Summit: Data analytics and AI applications.D. Womble, M. Shankar, W. Joubert, J. Johnston, J. Wells, and J. Nichols. IBM J. Res. Dev., 63 (6): 2:1-2:9 (2019)Turán Problems on Non-Uniform Hypergraphs.J. Johnston, and L. Lu. Electron. J. Comb., 21 (4): 4 (2014)Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.M. Parsa, C. Schuman, N. Rathi, A. Ziabari, D. Rose, J. Mitchell, J. Johnston, B. Kay, S. Young, and K. Roy. ICONS, page 14:1-14:8. ACM, (2021)Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.C. Schuman, S. Young, J. Mitchell, J. Johnston, D. Rose, B. Maldonado, and B. Kaul. IGSC (Workshops), page 1-8. IEEE, (2020)167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.R. Patton, J. Johnston, S. Young, C. Schuman, D. March, T. Potok, D. Rose, S. Lim, T. Karnowski, M. Ziatdinov and 1 other author(s). SC, page 50:1-50:11. IEEE / ACM, (2018)Evolving Deep Networks Using HPC.S. Young, D. Rose, J. Johnston, W. Heller, T. Karnowski, T. Potok, R. Patton, G. Perdue, and J. Miller. MLHPC@SC, page 7:1-7:7. ACM, (2017)Exascale Deep Learning to Accelerate Cancer Research.R. Patton, S. Abousamra, D. Samaras, J. Saltz, J. Johnston, S. Young, C. Schuman, T. Potok, D. Rose, S. Lim and 2 other author(s). IEEE BigData, page 1488-1496. IEEE, (2019)Optimizing Convolutional Neural Networks for Cloud Detection.J. Johnston, S. Young, D. Hughes, R. Patton, and D. White. MLHPC@SC, page 4:1-4:9. ACM, (2017)Boolean algebras and Lubell functions.J. Johnston, L. Lu, and K. Milans. J. Comb. Theory, Ser. A, (2015)Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.C. Schuman, J. Mitchell, J. Johnston, M. Parsa, B. Kay, P. Date, and R. Patton. IJCNN, page 1-10. IEEE, (2020)

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Disambiguation of "Johnston, J. Travis"

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167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.

Please choose a person to relate this publication to

Travis Gagie

Matthew Johnston

Travis Simpkins

Thomas Johnston

Lee Johnston

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Johnston, J. Travis"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.

Please choose a person to relate this publication to

Travis Gagie

Matthew Johnston

Travis Simpkins

Thomas Johnston

Lee Johnston

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.