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Performance metrics in a hybrid MPI-OpenMP based molecular dynamics simulation with short-range interactions

机译:具有短程相互作用的基于MPI-OpenMP的混合分子动力学模拟中的性能指标

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We discuss the computational bottlenecks in molecular dynamics (MD) and describe the challenges in parallelizing the computation-intensive tasks. We present a hybrid algorithm using MPI (Message Passing Interface) with OpenMP threads for parallelizing a generalized MD computation scheme for systems with short range interatomic interactions. The algorithm is discussed in the context of nano-indentation of Chromium films with carbon indenters using the Embedded Atom Method potential for Cr-Cr interaction and the Morse potential for Cr-C interactions. We study the performance of our algorithm for a range of MPI-thread combinations and find the performance to depend strongly on the computational task and load sharing in the multi-core processor. The algorithm scaled poorly with MPI and our hybrid schemes were observed to outperform the pure message passing scheme, despite utilizing the same number of processors or cores in the cluster. Speed-up achieved by our algorithm compared favorably with that achieved by standard MD packages.
机译:我们讨论了分子动力学(MD)的计算瓶颈,并描述了并行化计算密集型任务的挑战。我们提出了一种使用MPI(消息传递接口)和OpenMP线程的混合算法,用于并行化具有短距离原子间相互作用的系统的通用MD计算方案。该算法是在具有碳压头的铬膜纳米压痕的背景下进行讨论的,该压痕使用嵌入原子法用于Cr-Cr相互作用的势能和Morse势用于Cr-C相互作用。我们研究了一系列MPI线程组合的算法性能,并发现该性能很大程度上取决于多核处理器中的计算任务和负载分配。尽管在群集中使用了相同数量的处理器或核心,但是该算法在MPI上的伸缩性很差,并且观察到我们的混合方案优于纯消息传递方案。与标准MD软件包相比,我们的算法所实现的加速效果令人满意。

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