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Highly Scalable and Memory Efficient Ultra-Coarse-Grained Molecular Dynamics Simulations.

John M A Grime¹, Gregory A Voth¹

¹Department of Chemistry, James Franck Institute, Institute for Biophysical Dynamics and Computation Institute, University of Chicago , 5735 South Ellis Avenue, Chicago, Illinois 60637, United States.

Journal of Chemical Theory and Computation

|November 19, 2015

Summary

This study introduces a new coarse-grained molecular dynamics (CG-MD) code optimized for large-scale, parallel simulations. The novel approach enhances efficiency and load balancing for complex systems, enabling new research avenues.

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Area of Science:

Computational Physics
Materials Science
Biomolecular Simulation

Background:

Coarse-grained (CG) models extend the time and length scales of molecular dynamics (MD) simulations.
Large-scale simulations demand efficient memory usage and parallel load balancing for supercomputer utilization.
Systems with non-uniform particle distributions, common in CG models with implicit solvents, pose unique challenges.

Purpose of the Study:

To introduce a novel CG-MD code specifically engineered for very large, highly parallel simulations.
To address the computational demands of systems with significant non-uniformity in particle distribution.
To improve memory efficiency and load balancing for advanced computational molecular dynamics.

Main Methods:

Development of a specialized CG-MD code.
Integration of sparse data representations.
Application of a Hilbert space-filling curve (SFC) for dynamic topological descriptions and load balancing.

Main Results:

The developed CG-MD code demonstrates reduced memory overhead.
Advanced load-balancing characteristics were achieved through the SFC approach.
Large-scale simulations showed significant advantages over conventional MD techniques.

Conclusions:

The novel CG-MD code offers substantial benefits for large-scale, parallel simulations.
The approach effectively handles systems with non-uniform particle distributions.
This work facilitates the investigation of new classes of CG-MD systems.