Accelerating ab initio nucleon structure calculations with all-mode-Averaging on gordon

Meifeng Lin, Yasumichi Aoki, Thomas Blum, Taku Izubuchi, Chulwoo Jung, Shigemi Ohta, Eigo Shintani, Takeshi Yamazaki, Shoichi Sasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The composition of nucleons has long been known to be sub-Atomic particles called quarks and gluons, which interact through the strong force and theoretically can be described by Quantum Chromodynamics (QCD). Lattice QCD (LQCD), in which the continuous space-time is translated into grid points on a four-dimensional lattice and ab initio Monte Carlo simulations are performed, is by far the only model-independent method to study QCD with controllable errors. We report the successful application of a novel algorithm, All-Mode-Averaging, in the LQCD calculations of nucleon internal structure on the Gordon supercomputer our award of roughly 6 million service units through XSEDE. The application of AMA resulted in as much as a factor of 30 speedup in computational efficiency.

Original languageEnglish
Title of host publicationProceedings of the XSEDE 2014 Conference
Subtitle of host publicationEngaging Communities
PublisherAssociation for Computing Machinery
ISBN (Print)9781450328937
DOIs
Publication statusPublished - 2014
Event2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States
Duration: 2014 Jul 132014 Jul 18

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
CountryUnited States
CityAtlanta, GA
Period14/7/1314/7/18

Keywords

  • Lattice QCD
  • Monte carlo simulations
  • Nucleon structure

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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