Akio Tomiya

I got PhD in 2015 about physics, particle physics, in Osaka university in Japan. From June 2021, I am a faculty member of International Professional University of Technology in Osaka in Japan. September 2018 - May 2021, a postdoc in Riken Brookhaven research center in the USA. October 2015 - August 2018, a postdoc in central china normal university in China. I am interested in application of machine learning on lattice QCD and physics. I published a book "Deep Learning and Physics" from springer.

Talks:

13:20 UTC

LatticeQCD.jl: Simulation of quantum gauge fields

07/29/2021, 1:20 PM1:30 PM UTC
Red

We present our code (LatticeQCD.jl) for quantum chromo-dynamics (QCD), which describes microscopic world inside of nucleons. QCD calculation has been implemented by Fortran and C++ on supercomputers or GPU clusters because it requires huge numerical resource, i.g. Monte-Carlo with inversions of matrices with 10^16 x 10^16, and has been succeeded to calculate crucial numbers used in experiments. We implemented a code for QCD in Julia, which achieves compatible speed with a Fortran code.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor

NumFOCUS