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Introducing ONETEP: linear-scaling density functional simulations on parallel computers.

Chris-Kriton Skylaris1, Peter D Haynes, Arash A Mostofi

  • 1Theory of Condensed Matter, Cavendish Laboratory, Madingley Road, Cambridge CB3 0HE, United Kingdom. chris-kriton.skylaris@chem.ox.ac.uk

The Journal of Chemical Physics
|April 20, 2005
PubMed
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We developed ONETEP, a linear-scaling density functional program for parallel computers. This computational tool enables accurate simulations of large systems, like those in nanoscience and biophysics, with unprecedented efficiency.

Area of Science:

  • Computational physics and chemistry
  • Materials science
  • Quantum mechanics

Background:

  • Accurate electronic structure calculations are crucial for understanding material properties.
  • Conventional methods often scale cubically with system size, limiting their application to small systems.
  • The need for efficient, scalable computational tools for large-scale simulations is paramount.

Purpose of the Study:

  • To introduce ONETEP (order-N electronic total energy package), a novel density functional program.
  • To demonstrate its linear-scaling computational cost for parallel computers.
  • To achieve high accuracy comparable to conventional methods for large systems.

Main Methods:

  • Reformulation of the plane wave pseudopotential method to exploit electronic localization.

Related Experiment Videos

  • Direct optimization of localized electronic quantities within a delocalized plane wave basis.
  • Implementation of a parallel algorithm for efficient distribution of computational tasks.
  • Main Results:

    • ONETEP exhibits a linear scaling of computational cost with the number of atoms and processors.
    • Achieved excellent speedups with increasing processor numbers on parallel supercomputers.
    • Demonstrated accuracy comparable to cubic-scaling methods with fast and stable convergence.

    Conclusions:

    • ONETEP provides a computationally efficient and accurate approach for electronic structure calculations.
    • The linear-scaling nature of ONETEP enables quantitative theoretical predictions for large systems.
    • This method has significant potential for applications in nanoscience and biophysics.