Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing
- Haruki Imai
- Tung D. Le
- et al.
- Big Data 2020
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.