A data management system for ab-initio nuclear physics applications

  • Authors:
  • Fang Liu;Ritu Mundhe;Masha Sosonkina;Chase Cockrell;Miles Aronnax;Pieter Maris;James P. Vary

  • Affiliations:
  • Ames Laboratory, Iowa State University;Iowa State University;Iowa State University;Iowa State University;Iowa State University;Iowa State University;Iowa State University

  • Venue:
  • Proceedings of the 19th High Performance Computing Symposia
  • Year:
  • 2011

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Abstract

Reproducible Research lies at the very core of the scientific method: an experiment is reproducible if it can be replicated by researchers independent from those that conducted it in the first place. Provenance is an emerging concept in computational sciences. In this work, provenance is introduced to another scientific domain - ab initio nuclear physics calculations. Through a data management system, the provenance information is consistently recorded for post-processing, validation, and education purposes. Due to the large volume of data generated in each large scale simulation, the proposed data management system needs to address the high performance computing needs as compared with a traditional database management system.