literature

High-Performance I/O: HDF5 for Lattice QCD

Jan 27, 2015
7 pages
Published in:
  • PoS LATTICE2014 (2015) 045
Contribution to:
  • Published: Jan 27, 2015 by SISSA
e-Print:
Report number:
  • NT@WM-15-02,
  • JLAB-THY-15-2007

Citations per year

201520172019202120211302
Abstract: (arXiv)
Practitioners of lattice QCD/QFT have been some of the primary pioneer users of the state-of-the-art high-performance-computing systems, and contribute towards the stress tests of such new machines as soon as they become available. As with all aspects of high-performance-computing, I/O is becoming an increasingly specialized component of these systems. In order to take advantage of the latest available high-performance I/O infrastructure, to ensure reliability and backwards compatibility of data files, and to help unify the data structures used in lattice codes, we have incorporated parallel HDF5 I/O into the SciDAC supported USQCD software stack. Here we present the design and implementation of this I/O framework. Our HDF5 implementation outperforms optimized QIO at the 10-20% level and leaves room for further improvement by utilizing appropriate dataset chunking.
Note:
  • Contribution to the 32nd International Symposium on Lattice Field Theory (Lattice 2014), 23-28 June 2014, Columbia University, New York, NY, USA
  • lattice field theory
  • field theory
  • programming
  • structure
  • lattice
  • computer: performance
  • numerical calculations
  • scaling