首页> 外文期刊>Journal of chemical theory and computation: JCTC >Efficient Sparse Matrix Algorithm to Speed Up the Calculation of the Ladder Term in Coupled Cluster Programs
【24h】

Efficient Sparse Matrix Algorithm to Speed Up the Calculation of the Ladder Term in Coupled Cluster Programs

机译:高效的稀疏矩阵算法在耦合聚类程序中加快梯形项的计算

获取原文
获取原文并翻译 | 示例
           

摘要

A new algorithm is presented for the calculation of the ladder-type term of the coupled cluster singles and doubles (CCSD) equations using two-electron integrals in atomic orbital (AO) basis. The method is based on an orbital grouping scheme, which results in an optimal partitioning of the AO integral matrix into sparse and dense blocks allowing efficient matrix multiplication. Carefully chosen numerical tests have been performed to analyze the performance of all aspects of the new algorithm. It is shown that the suggested scheme allows an efficient utilization of modern highly parallel architectures and devices in CCSD calculations. Details of the implementation in the development version of CFOUR quantum chemical program package are also presented.
机译:提出了一种新的算法,用于基于原子轨道(AO)的两电子积分计算耦合簇单双方程(CCSD)方程的阶梯型项。该方法基于轨道分组方案,该方案可将AO积分矩阵最佳划分为稀疏块和密集块,从而实现有效的矩阵乘法。进行了精心选择的数值测试,以分析新算法各个方面的性能。结果表明,所建议的方案允许在CCSD计算中有效利用现代高度并行的体系结构和设备。还介绍了CFOUR量子化学程序包开发版中的实现细节。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号