EigenKernel - A middleware for parallel generalized eigenvalue solvers to attain high scalability and usability

1 code implementation • 3 Jun 2018 • Kazuyuki Tanaka, Hiroto Imachi, Tomoya Fukumoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi

An open-source middleware named EigenKernel was developed for use with parallel generalized eigenvalue solvers or large-scale electronic state calculation to attain high scalability and usability.

Computational Physics Materials Science Numerical Analysis

Variance-based Gradient Compression for Efficient Distributed Deep Learning

no code implementations • ICLR 2018 • Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba

We also analyze the efficiency using computation and communication cost models and provide the evidence that this method enables distributed deep learning for many scenarios with commodity environments.