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Publication List - Yosuke Oyama 2021 (5 / 27 entries)
Journal Paper
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Yosuke Oyama,
Naoya Maruyama,
Nikoli Dryden,
Erin McCarthy,
Peter Harrington,
Jan Balewski,
Satoshi Matsuoka,
Peter Nugent,
Brian Van Essen.
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism,
IEEE Transactions on Parallel & Distributed Systems (TPDS),
vol. 32,
no. 7,
pp. 1641-1652,
July 2021.
International Conference (Reviewed)
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Jens Domke,
Emil Vatai,
Alexsandr Drozd,
Peng Chen,
Yosuke Oyama,
Lingqi Zhang,
Shweta Salaria,
Daichi Mukunoki,
Artur Podobas,
Mohamed Wahib,
Satoshi Matsuoka.
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?,
International Parallel and Distributed Processing Symposium (IPDPS 2021),
May 2021.
Degree
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Hierarchical Hybrid Parallel Training of Large-Scale Convolutional Neural Networks,
Summary,
Doctor (Science),
Tokyo Institute of Technology,
2021/03/26,
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Hierarchical Hybrid Parallel Training of Large-Scale Convolutional Neural Networks,
Thesis,
Doctor (Science),
Tokyo Institute of Technology,
2021/03/26,
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Hierarchical Hybrid Parallel Training of Large-Scale Convolutional Neural Networks,
Exam Summary,
Doctor (Science),
Tokyo Institute of Technology,
2021/03/26,
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