Abstract
In this paper we describe the implementation of a new parallelized
Molecular Dynamics code for many-particle problems with short-ranged
interactions. While the basic algorithms have their foundation in
the fairly standard methods of domain decomposition, linked-cell
pair search and Verlet pair list, we have developed some refined
techniques for optimizing them. The rewards of these optimizations
are a up to 45 percent overall improvement in the scalar performance
and very good scaling behavior in the number of processors even down
to a few hundred particles per processor on a GRAY T3E. The best
speedup can be obtained for systems with pair forces only since then
the data structures can be organized in a very simple manner. To
deal with more complex situations as well, we have developed a partial
replicated data scheme which is suitable to simulate many molecules
consisting of many simple particles (e.g. polymer chains) for many
types of short-range interactions.
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