Optimized force calculation in molecular dynamics simulations for the intel xeon phi

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Abstract

We provide details on the shared-memory parallelization for manycore architectures of the molecular dynamics framework ls1-mardyn, including an optimization of the SIMD vectorization for multi-centered molecules. The novel shared-memory parallelization scheme allows to retain Newton’s third law optimization and exhibits very good scaling on many-core devices such as a full Xeon Phi card running 240 threads. The Xeon Phi can thus be exploited and delivers comparable performance as IvyBridge nodes in our experiments.

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Tchipev, N., Wafai, A., Glass, C. W., Eckhardt, W., Heinecke, A., Bungartz, H. J., & Neumann, P. (2015). Optimized force calculation in molecular dynamics simulations for the intel xeon phi. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9523, pp. 774–785). Springer Verlag. https://doi.org/10.1007/978-3-319-27308-2_62

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