Evaluation of a Nearest-Neighbor Load Balancing Strategy for Parallel Molecular Simulations in MPI Environment

We evaluate the effectiveness of an iterative nearest-neighbor load balancing algorithm: Generalized Dimension Exchange (G.D.E.) method over Molecular Dynamics Simulations. Due to the overhead of the method, the simulation performance improves when the system tolerates some degree of unbalance. We p...

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Bibliographische Detailangaben
Hauptverfasser: Di Serio, Angela, Ibáñez, María B.
Format: Buchkapitel
Sprache:eng
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Zusammenfassung:We evaluate the effectiveness of an iterative nearest-neighbor load balancing algorithm: Generalized Dimension Exchange (G.D.E.) method over Molecular Dynamics Simulations. Due to the overhead of the method, the simulation performance improves when the system tolerates some degree of unbalance. We present a method to calibrate the best tolerance level for a simulation running on a homogeneous platform using MPI.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-45825-5_38