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Oyama, Yosuke
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1

Accelerating AlphaFold2 Inference of Protein Three-Dimensio..:

, In: Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing,
Oyama, Yosuke ; Tabuchi, Akihiro ; Tokuhisa, Atsushi - p. 1-9 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Accelerating Hybrid DFT Simulations Using Performance Model..:

, In: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
Oyama, Yosuke ; Honda, Takumi ; Ishikawa, Atsushi. - p. 524-534 , 2023
Link: https://doi.org/10.1109/..
 
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3

The Case for Strong Scaling in Deep Learning: Training Larg..:

Oyama, Yosuke ; Maruyama, Naoya ; Dryden, Nikoli...
IEEE Transactions on Parallel and Distributed Systems.  , 2021
Link: https://doi.org/10.1109/..
 
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4

Co-design Center for Exascale Machine Learning Technologies..:

Alexander, Francis J ; Ang, James ; Bilbrey, Jenna A...
The International Journal of High Performance Computing Applications.  35 (2021)  6 - p. 598-616 , 2021
Link: https://doi.org/10.1177/..
 
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5

Argentivorous molecules with two kinds of aromatic side-arm..:

Habata, Yoichi ; Oyama, Yosuke ; Ikeda, Mari.
Dalton Transactions.  42 (2013)  23 - p. 8212 , 2013
Link: https://doi.org/10.1039/..
 
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6

Improvement of the Fatigue Strength of Stainless Steel SUS3..:

Soyama, Hitoshi ; Sekine, Yuichi ; Oyama, Yosuke
ISIJ International.  48 (2008)  11 - p. 1577-1581 , 2008
Link: https://doi.org/10.2355/..
 
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7

The Case for Strong Scaling in Deep Learning: Training Larg..:

Oyama, Yosuke ; Maruyama, Naoya ; Dryden, Nikoli...
qt5hp635xg.  , 2021
Link: https://escholarship.org..
 
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8

Co-design Center for Exascale Machine Learning Technologies..:

Alexander, Francis J ; Ang, James ; Bilbrey, Jenna A...
qt6cx1j7jh.  , 2021
Link: https://escholarship.org..
 
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9

The Case for Strong Scaling in Deep Learning: Training Larg..:

Oyama, Yosuke ; Maruyama, Naoya ; Dryden, Nikoli...
http://arxiv.org/abs/2007.12856.  , 2020
Link: http://arxiv.org/abs/200..
 
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10

Matrix Engines for High Performance Computing:A Paragon of ..:

Domke, Jens ; Vatai, Emil ; Drozd, Aleksandr...
http://arxiv.org/abs/2010.14373.  , 2020
Link: http://arxiv.org/abs/201..
 
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11

{\mu}-cuDNN: Accelerating Deep Learning Frameworks with Mic..:

Oyama, Yosuke ; Ben-Nun, Tal ; Hoefler, Torsten.
http://arxiv.org/abs/1804.04806.  , 2018
Link: http://arxiv.org/abs/180..
 
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12

szaman19/lbann: SC Final Release:

Tim Moon ; Brian Van Essen ; davidHysom...
https://github.com/szaman19/lbann/tree/v0.0.1.  , 2021
Link: https://zenodo.org/recor..
 
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13

szaman19/lbann: SC Submission Release:

Tim Moon ; Brian Van Essen ; davidHysom...
https://github.com/szaman19/lbann/tree/v0.0.0.  , 2021
Link: https://zenodo.org/recor..
 
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14

oyamay/lbann: v0.99-dc-h5key:

Tim Moon ; Brian Van Essen ; davidHysom...
https://github.com/oyamay/lbann/tree/v0.99-dc-h5key.  , 2020
Link: https://zenodo.org/recor..
 
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15

oyamay/lbann: Distconv rc0:

Tim Moon ; Brian Van Essen ; davidHysom...
https://github.com/oyamay/lbann/tree/v0.99-dc-rc0.  , 2020
Link: https://zenodo.org/recor..
 
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