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The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.

Y. Oyama, N. Maruyama, N. Dryden, E. McCarthy, P. Harrington, J. Balewski, S. Matsuoka, P. Nugent, and B. Essen. CoRR, (2020)

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Joseph Balewski

Uta Balewski

Klaus Balewski

Jonathan B Balewski

Benjamin Sebastian Balewski

Other publications of authors with the same name

Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data.G. Muszynski, Prabhat, J. Balewski, K. Kashinath, M. Wehner, and V. Kurlin. ICPR, page 677-684. IEEE, (2020)Co-design Center for Exascale Machine Learning Technologies (ExaLearn).F. Alexander, J. Ang, J. Bilbrey, J. Balewski, T. Casey, R. Chard, J. Choi, S. Choudhury, B. Debusschere, A. DeGennaro and 37 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 598-616 (2021)Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100.J. Balewski, Z. Liu, A. Tsyplikhin, M. Roland, and K. Bouchard. PMBS@SC, page 141-146. IEEE, (2022)The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism.Y. Oyama, N. Maruyama, N. Dryden, E. McCarthy, P. Harrington, J. Balewski, S. Matsuoka, P. Nugent, and B. Essen. IEEE Trans. Parallel Distributed Syst., 32 (7): 1641-1652 (2021)The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.Y. Oyama, N. Maruyama, N. Dryden, E. McCarthy, P. Harrington, J. Balewski, S. Matsuoka, P. Nugent, and B. Essen. CoRR, (2020)Efficient Quantum Counting and Quantum Content-Addressable Memory for DNA Similarity.J. Balewski, D. Camps, K. Klymko, and A. Tritt. QCE, page 378-384. IEEE, (2023)Quantum Computing and Visualization: A Disruptive Technological Change Ahead.E. Bethel, M. Amankwah, J. Balewski, R. Beeumen, D. Camps, D. Huang, and T. Perciano. CoRR, (2023)Asynchronous I/O Strategy for Large-Scale Deep Learning Applications.S. Lee, Q. Kang, K. Wang, J. Balewski, A. Sim, A. Agrawal, A. Choudhary, P. Nugent, K. Wu, and W. keng Liao. HiPC, page 322-331. IEEE, (2021)Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.A. Ladd, K. Kim, J. Balewski, K. Bouchard, and R. Ben-Shalom. Frontiers Neuroinformatics, (2022)Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications.K. Wang, S. Lee, J. Balewski, A. Sim, P. Nugent, A. Agrawal, A. Choudhary, K. Wu, and W. Liao. CCGRID, page 404-413. IEEE, (2022)

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Disambiguation of "Balewski, Jan"

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The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.

Please choose a person to relate this publication to

Joseph Balewski

Uta Balewski

Klaus Balewski

Jonathan B Balewski

Benjamin Sebastian Balewski

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Balewski, Jan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.

Please choose a person to relate this publication to

Joseph Balewski

Uta Balewski

Klaus Balewski

Jonathan B Balewski

Benjamin Sebastian Balewski

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.