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μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.

Y. Oyama, T. Ben-Nun, T. Hoefler, and S. Matsuoka. CoRR, (2018)

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Matsujiro Oyama

Other publications of authors with the same name

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)Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers.Y. Oyama, T. Honda, A. Ishikawa, and K. Shirahata. CCGrid, page 524-534. IEEE, (2023)Accelerating AlphaFold2 Inference of Protein Three-Dimensional Structure on the Supercomputer Fugaku.Y. Oyama, A. Tabuchi, and A. Tokuhisa. FlexScience@HPDC, page 1-9. ACM, (2023)μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.Y. Oyama, T. Ben-Nun, T. Hoefler, and S. Matsuoka. CoRR, (2018)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)Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?J. Domke, E. Vatai, A. Drozd, P. Chen, Y. Oyama, L. Zhang, S. Salaria, D. Mukunoki, A. Podobas, M. Wahib and 1 other author(s). IPDPS, page 1056-1065. IEEE, (2021)Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition.I. Sato, R. Fujisaki, Y. Oyama, A. Nomura, and S. Matsuoka. ICONIP (2), volume 10635 of Lecture Notes in Computer Science, page 305-314. Springer, (2017)Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers.Y. Oyama, A. Nomura, I. Sato, H. Nishimura, Y. Tamatsu, and S. Matsuoka. IEEE BigData, page 66-75. IEEE Computer Society, (2016)Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing.A. Kasagi, M. Asaoka, A. Tabuchi, Y. Oyama, T. Honda, Y. Sakai, T. Dang, and T. Tabaru. CANDAR, page 108-113. IEEE, (2021)Accelerating Deep Learning Frameworks with Micro-Batches.Y. Oyama, T. Ben-Nun, T. Hoefler, and S. Matsuoka. CLUSTER, page 402-412. IEEE Computer Society, (2018)

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Disambiguation of "Oyama, Yosuke"

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μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.

Please choose a person to relate this publication to

Matsujiro Oyama

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Disambiguation

BibSonomy

Disambiguation of "Oyama, Yosuke"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.

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Matsujiro Oyama

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μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.