activity
20142020
most citedVariance-based Gradient Compression for Efficient Distributed Deep Learning

52 citations · 82 across the 8 of their papers we have counts for

collaborators

8 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…

physics.comp-ph2018★ 13 cited

Numerical aspect of large-scale electronic state calculation for flexible device material

Takeo Hoshi, Hiroto Imachi, Akiyoshi Kuwata +3

Numerical aspects of large-scale electronic state calculation are explored on flexible organic device materials. Physical theory, numerical method and real application studies are…

physics.comp-ph2018★ 1 cited

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

Kazuyuki Tanaka, Hiroto Imachi, Tomoya Fukumoto +5

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

cs.LG2018★ 52 cited

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…

cond-mat.mtrl-sci2016

Extremely scalable algorithm for 10-atom quantum material simulation on the full system of the K computer

Takeo Hoshi, Hiroto Imachi, Kiyoshi Kumahata +4

An extremely scalable linear-algebraic algorithm was developed for quantum material simulation (electronic state calculation) with 10 atoms or 100-nm-scale materials. The mathe…

cond-mat.mtrl-sci2016★ 8 cited

One-hundred-nm-scale electronic structure and transport calculations of organic polymers on the K computer

Hiroto Imachi, Seiya Yokoyama, Takami Kaji +3

One-hundred-nm-scale electronic structure calculations were carried out on the K supercomputer by our original simulation code ELSES (http://www.elses.jp/) The present paper report…

physics.comp-ph2015★ 8 cited

Hybrid Numerical Solvers for Massively Parallel Eigenvalue Computation and Their Benchmark with Electronic Structure Calculations

Hiroto Imachi, Takeo Hoshi

Optimally hybrid numerical solvers were constructed for massively parallel generalized eigenvalue problem (GEP).The strong scaling benchmark was carried out on the K computer and o…

cond-mat.mtrl-sci2014

Novel linear algebraic theory and one-hundred-million-atom quantum material simulations on the K computer

Takeo Hoshi, Tomohiro Sogabe, Takafumi Miyatad +7

The present paper gives a review of our recent progress and latest results for novel linear-algebraic algorithms and its application to large-scale quantum material simulations or…