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Abstract
The parallel performance of classical molecular dynamics simulations of the thermal properties of solid-state materials is evaluated. Computations are validated by predicting the bulk silicon thermal conductivity as a function of temperature. The performance of the computational algorithm and software are tested on three different architectures, including the IBM BlueGene, the IBM Power 4 +, and an Intel Xeon Linux cluster, corresponding to different combinations of processor speeds, communications bandwidth, and latency. Two popular three-body potentials used for silicon simulation are evaluated and compared. In addition, the popular Lennard-Jones potential is used to investigate to role of cutoff distance on parallel performance.
Acknowledgments
Support of J. Murthy and L. Sun under NSF Grants CTS-0312420, CTS-0219098, EE-0228390, and Purdue's Network for computatuinal Nanotechnology (NCN) is gratefully acknoledged.
