Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing
- Haruki Imai
- Tung D. Le
- et al.
- 2020
- Big Data 2020
Bio
Haruki Imai is a research staff member at IBM Research - Tokyo. Since he joined in 2004, he has been working mainly for application performance improvement in scientific computing, deep learning, stream computing, cloud computing, and quantum computing.
Publications
Profiling based out-of-core Hybrid method for large neural networks
- Yuki Ito
- Haruki Imai
- et al.
- 2019
- PPoPP 2019
An event-processing system alerting analytically to networked vehicles
- Haruki Imai
- Kumiko Maeda
- et al.
- 2013
- ITSC 2013
Smarter mobility integrated system: A real time processing framework for sensor data aggregation, analysis, and query
- Tatsuhiro Chiba
- Haruki Imai
- et al.
- 2013
- ITS 2013
Patents
Projects
Top collaborators
KK
Kiyo Kawachiya
STSM, Sr. Mgr, Systems & Strategy, TRL