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Efficient table lookup without inverse square roots for calculation of pair wise atomic interactions in classical
1Department of Biosciences and Nutrition, Karolinska Institutet, SE-141 57 Huddinge, Sweden. Lennart.Nilsson@ki.se
Journal of Computational Chemistry
|December 17, 2008
Summary
A new lookup table method significantly speeds up biomolecular simulations by efficiently calculating nonbonded interactions. This approach offers a 1.5- to 2-fold speedup with minimal loss of accuracy.
Area of Science:
- Computational Chemistry
- Biophysics
- Molecular Dynamics
Background:
- Calculating pairwise nonbonded interactions (Coulomb, van der Waals) is a major bottleneck in atomistic simulations of biomolecular systems.
- Existing methods reduce complexity from O(N^2) to O(N log N) or O(N), but computational cost remains significant.
Purpose of the Study:
- To develop and evaluate a novel lookup table method for accelerating the calculation of nonbonded interactions in molecular dynamics simulations.
- To assess the speedup and accuracy of the lookup table approach compared to traditional methods.
Main Methods:
- Implementation of a lookup table code in FORTRAN 95 within the CHARMM program.
- Utilizing linear interpolation with varying table densities (e.g., 100 points/Ų and 10 points/Ų) for interaction calculations.
- Comparison of the lookup table method against standard, highly optimized FORTRAN code and hand-coded assembler routines.
Main Results:
- Achieved a 1.5- to 2-fold speedup in molecular dynamics simulations across various system sizes.
- Demonstrated that linear interpolation with a modest table density (100 points/Ų) maintains accuracy comparable to standard double precision calculations.
- Showed that a less dense table (10 points/Ų) for proteins in explicit water offers a 10-20% speed increase with only slight accuracy reduction.
- The lookup table method proved faster than hand-coded assembler routines in most cases due to reduced inner loop operation counts.
Conclusions:
- The developed lookup table method provides a significant acceleration for calculating nonbonded interactions in biomolecular simulations.
- This approach offers a practical solution to a major computational bottleneck, enabling larger and longer simulations.
- The method achieves high accuracy with efficient computational performance, outperforming existing optimized routines.
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