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Two-level hierarchical parallelization of second-order Møller-Plesset perturbation calculations in divide-and-conquer
Michio Katouda1, Masato Kobayashi, Hiromi Nakai
1Department of Theoretical and Computational Molecular Science, Institute for Molecular Science, Okazaki 444-8585, Japan.
Journal of Computational Chemistry
|July 7, 2011
Summary
A new parallelization method enhances computational efficiency for large molecules using second-order Møller-Plesset perturbation (MP2) theory. This approach makes complex quantum chemistry calculations more accessible for extensive molecular systems.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Theoretical Chemistry
Background:
- Accurate calculation of molecular properties requires advanced quantum chemical methods.
- Second-order Møller-Plesset perturbation (MP2) theory is crucial for describing electron correlation.
- Scaling limitations of MP2 calculations hinder their application to large molecules.
Purpose of the Study:
- To develop an efficient parallelization scheme for MP2 calculations.
- To enable accurate electronic structure calculations for very large molecular systems.
- To improve the computational feasibility of MP2 theory.
Main Methods:
- A two-level hierarchical parallelization strategy was implemented.
- The scheme combines coarse-grain (subsystem assignment) and fine-grain (task distribution) parallelization.
- The divide-and-conquer method was integrated with MP2 theory.
Main Results:
- The proposed scheme demonstrated high parallel efficiency.
- Computational tasks for MP2 correlation energy were effectively distributed.
- The method proved practical for calculations on very large molecules.
Conclusions:
- The hierarchical parallelization scheme significantly enhances MP2 calculation efficiency.
- This approach overcomes previous scalability limitations for large molecular systems.
- The method opens new possibilities for high-accuracy computational chemistry on large systems.
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