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An efficient parallel algorithm for the calculation of canonical MP2 energies.

Jon Baker1, Peter Pulay

  • 1Parallel Quantum Solutions, 2013 Green Acres Road, Suite A, Fayetteville, Arkansas 72703, USA. baker@comp.uark.edu

Journal of Computational Chemistry
|July 13, 2002
PubMed
Summary

This study introduces a parallel algorithm for calculating second-order Møller-Plesset perturbation theory (MP2) energies efficiently. The method enables accurate MP2 energy calculations for large molecules in minutes using modern parallel computers.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • High-Performance Computing

Background:

  • Efficient calculation of electron correlation is crucial in quantum chemistry.
  • Previous serial algorithms for MP2 energy calculation have limitations in scalability.

Purpose of the Study:

  • To develop and present a parallel algorithm for efficient canonical MP2 energy calculations.
  • To improve the computational efficiency and scalability of MP2 energy computations.

Main Methods:

  • Implementation of a parallel algorithm based on the Saebo-Almlöf direct-integral transformation.
  • Utilizing efficient prescreening of atomic orbital (AO) integrals.
  • Employing a novel approach to avoid synchronization delays by spawning additional slave processes.

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Main Results:

  • The parallel algorithm demonstrates efficient calculation of MP2 energies for systems up to 2000 basis functions.
  • MP2 energies for molecules with 400-500 basis functions are routinely computed to microhartree accuracy.
  • Calculations are feasible in minutes on a small number of processors (6-8) using modern PC-based parallel computers.

Conclusions:

  • The developed parallel algorithm significantly enhances the efficiency of MP2 energy calculations.
  • This approach enables routine high-accuracy MP2 computations for larger molecular systems than previously possible.
  • The method is well-suited for modern parallel computing architectures, making advanced quantum chemical calculations more accessible.