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High-Performance Computing for Density Matrix Renormalization Group

机译:密度矩阵重整化组的高性能计算

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摘要

In the last decades, many algorithms have been developed to use high-performance computing (HPC) techniques to accelerate the density matrix renormalization group (DMRG) method, an effective method for solving large active space strong correlation problems. In this article, the previous DMRG parallelization algorithms at different levels of the parallelism are introduced. The heterogeneous computing acceleration methods and the mixed-precision implementation are also presented and discussed. This mini-review concludes with some summary and prospects for future works.
机译:在过去的几十年里,许多算法开发利用高性能计算(HPC)技术来加快密度矩阵重整化群(DMRG)方法,一个有效的方法解决大型活动空间强相关的问题。以前DMRG并行算法不同级别的并行性介绍了。和mixed-precision加速度的方法实现提出和讨论。本文总结了一些未来的工作前景。

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