Yosuke Oyama

Most-cited papers

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

   Yosuke Oyama, N. Maruyama, Nikoli Dryden, Erin McCarthy +5 more

   2020IEEE Transactions on Parallel and Distributed Systems43 citations Open access

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2. Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?

   Jens Domke, Emil Vatai, Aleksandr Drozd, Peng ChenT +7 more

   2020IEEE International Parallel and Distributed Processing Symposium35 citations Open access

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3. Accelerating Deep Learning Frameworks with Micro-Batches

   Yosuke Oyama, Tal Ben-Nun, T. Hoefler, S. Matsuoka

   2018IEEE International Conference on Cluster Computing27 citations

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4. 2016 Ieee International Conference on Big Data (big Data) Predicting Statistics of Asynchronous Sgd Parameters for a Large-scale Distributed Deep Learning System on Gpu Supercomputers

   Yosuke Oyama, Akihiro Nomura, Ikuro Sato, Hiroki Nishimura +2 more

   27 citations

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5. Co-design Center for Exascale Machine Learning Technologies (ExaLearn)

   Francis J. Alexander, J. Ang, Jenna A. Bilbrey, J. Balewski +43 more

   2021The international journal of high performance computing applications16 citations Open access

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6. Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing

   A. Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama +4 more

   2021International Symposium on Computing and Networking - Across Practical Development and Theoretical Research3 citations

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7. Accelerating AlphaFold2 Inference of Protein Three-Dimensional Structure on the Supercomputer Fugaku

   Yosuke Oyama, Akihiro Tabuchi, Atsushi Tokuhisa

   2023FlexScience@HPDC1 citations Open access

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

   Yosuke Oyama, Tal Ben-Nun, T. Hoefler, S. Matsuoka

   2018arXiv.org1 citations

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9. Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition

   Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura +1 more

   2017International Conference on Neural Information Processing1 citations Open access

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10. Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers

    Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata

    2023IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing0 citations

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11. Partially-Decompressible Dictionary Based Compression Format for All Flash Array

    Yosuke Oyama, 洋介 大山, Hiroki Ohtsuji, Jun Kato +3 more

    20160 citations

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12. GPUスーパコンピュータ上での大規模分散深い学習システムのための非同期SGDパラメータの統計予測【Powered by NICT】

    Yosuke Oyama, Akihiro Nomura, Ikuro Sato, Hiroki Nishimura +2 more

    20160 citations

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