Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers. - Yosuke Oyama; Akihiro Nomura 002; Ikuro Sato; Hiroki Nishimura; Yukimasa Tamatsu; Satoshi Matsuoka (IEEE BigData, 2016)

Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. - Ikuro Sato; Ryo Fujisaki; Yosuke Oyama; Akihiro Nomura 002; Satoshi Matsuoka (ICONIP (2), 2017)

Accelerating Deep Learning Frameworks with Micro-Batches. - Yosuke Oyama; Tal Ben-Nun; Torsten Hoefler; Satoshi Matsuoka (CLUSTER, 2018)

μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching. - Yosuke Oyama; Tal Ben-Nun; Torsten Hoefler; Satoshi Matsuoka (CoRR, 2018)

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing. - Akihiko Kasagi; Masahiro Asaoka; Akihiro Tabuchi; Yosuke Oyama; Takumi Honda; Yasufumi Sakai; Thang Dang; Tsuguchika Tabaru (CANDAR, 2021)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism. - Yosuke Oyama; Naoya Maruyama; Nikoli Dryden; Erin McCarthy; Peter Harrington; Jan Balewski; Satoshi Matsuoka; Peter Nugent; Brian Van Essen (IEEE Trans. Parallel Distributed Syst., 2021)

Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. - Yosuke Oyama; Takumi Honda; Atsushi Ishikawa; Koichi Shirahata (CCGrid, 2023)

Accelerating AlphaFold2 Inference of Protein Three-Dimensional Structure on the Supercomputer Fugaku. - Yosuke Oyama; Akihiro Tabuchi; Atsushi Tokuhisa (FlexScience@HPDC, 2023)

LaMM: Semi-Supervised Pre-Training of Large-Scale Materials Models. - Yosuke Oyama; Yusuke Majima; Eiji Ohta; Yasufumi Sakai (CoRR, 2025)