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耦合簇计算的大规模并行张量约缩框架

A massively parallel tensor contraction framework for coupled-cluster computations

作者:Edgar Solomonik;Devin Matthews;Jeff Hammond;John Stanton;James Demmel 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-04-07 信息来源:EECS 索取原文[28 页]
关键词:耦合簇运动方程;张量约缩;独眼巨人张量框架;CCSD
摘 要:We present a distributed-memory numerical library (Cyclops Tensor Framework (CTF)) that automatically manages tensor blocking and redistribution to perform any user-specified contractions. CTF serves as the distributed memory contraction engine in Aquarius, a new program designed for high-accuracy and massively-parallel quantum chemical computations. Aquarius implements a range of coupled-cluster and related methods such as CCSD and CCSDT by writing the equations on top of a C++ templated domain-specific language.
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