2 papers
math.NA2020
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics
Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi +3
In simulating physical systems, conservation of the total energy is often essential, especially when energy conversion between different forms of energy occurs frequently. Recently…
cs.LG2018
Variance-based Gradient Compression for Efficient Distributed Deep Learning
Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Due to the substantial computational cost, training state-of-the-art deep neural networks for large-scale datasets often requires distributed training using multiple computation wo…