Yosuke Oyama

Partially-Decompressible Dictionary Based Compression Format for All Flash Array

Yosuke Oyama, 洋介 大山, Hiroki Ohtsuji, 2016 .

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

Mohamed Wahib, Yosuke Oyama, Jens Domke, 2020, 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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

Satoshi Matsuoka, Torsten Hoefler, Yosuke Oyama, 2018, ArXiv.

Accelerating Deep Learning Frameworks with Micro-Batches

Torsten Hoefler, Yosuke Oyama, Satoshi Matsuoka, 2018, 2018 IEEE International Conference on Cluster Computing (CLUSTER).

Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers

Satoshi Matsuoka, Yosuke Oyama, Ikuro Sato, 2016, 2016 IEEE International Conference on Big Data (Big Data).

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

Yosuke Oyama, Peter Nugent, Brian Van Essen, 2020, IEEE Transactions on Parallel and Distributed Systems.

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

Satoshi Matsuoka, Yosuke Oyama, Ikuro Sato, 2017, ICONIP.

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

Satoshi Matsuoka, Mohamed Wahib, Yosuke Oyama, 2021, 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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

Satoshi Matsuoka, Rajeev Thakur, Shantenu Jha, 2021, Int. J. High Perform. Comput. Appl..

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

Akihiko Kasagi, Akihiro Tabuchi, Tsuguchika Tabaru, 2021, 2021 Ninth International Symposium on Computing and Networking (CANDAR).