MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
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Bottom-up building block assembly is a useful technique for determining thermodynamically stable configurations of certain physical particles. This paper provides a description of the computational bottlenecks encountered when generating large configurations of particles. We identify two components; cluster pairing and shape matching, that dominate the run time. We present scaling data for a simple example particle and discuss opportunities for enhancing implementations of bottom-up building block assembly for studying larger or more complex systems.