基于MPI RMA的高效可移植异步通信扩展NWChem

Min Si, Antonio J. Peña, J. Hammond, P. Balaji, Y. Ishikawa
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引用次数: 7

摘要

NWChem是化学和生物系统中使用最广泛的计算化学应用套件之一。尽管取得了巨大的成功,但NWChem的计算效率仍然很低。这在精度更高的方法中尤其如此,例如CCSD(T)耦合簇方法,在大规模运行时,它目前的计算效率仅为50%。在本文中,我们展示了迄今为止计算效率最高的NWChem CCSD(T)缩放,并将其用于求解大型水簇。我们使用我们最近提出的基于进程的MPI RMA异步进程框架,称为Casper,在高达12288核的水集群上以接近100%的计算效率扩展计算。
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Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA
NWChem is one of the most widely used computational chemistry application suites for chemical and biological systems. Despite its vast success, the computational efficiency of NWChem is still low. This is especially true in higher accuracy methods such as the CCSD(T) coupled cluster method, where it currently achieves a mere 50% computational efficiency when run at large scales. In this paper, we demonstrate the most computationally efficient scaling of NWChem CCSD(T) to date, and use it to solve large water clusters. We use our recently proposed process-based asynchronous progress framework for MPI RMA, called Casper, to scale the computation on water clusters at near-100% computational efficiency on up to 12288 cores.
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