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An algorithm for the multi-reference configuration interaction method on distributed memory architectures

机译:分布式存储体系结构上多引用配置交互方法的算法

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We have reformulated the multi-reference configuration interaction algorithm for massively parallel architectures with distributed memory, such that the communication effort associated with the matrix element computation is independent of the number of units of the machine. Exploiting the special structure of the MRCI Hilbert space, this formulation allows the evaluation of all matrix elements in six distinct phases-independent of the number of electrons, the number of orbitals, the number of references and of the number of nodes of the computer used. Using an object-oriented approach, we have implemented and tested the a symmetry-adapted determinantal version of the algorithm in C++ on an IBM-SP2 computer. Our initial results for benchmark calculations on N-2 and O-3 for Hilbert spaces of up to 12 X 10(6) determinants indicate that the vector redistribution effort is negligible in actual calculations. The remaining difficulties to perform calculations for significantly larger Hilbert spaces are critically addressed. (C) 1998 American Institute of Physics. [S0021-9606(98)03403-5]. [References: 33]
机译:我们为具有分布式内存的大规模并行体系结构重新制定了多引用配置交互算法,从而使与矩阵元素计算相关的通信工作量与机器的单元数无关。利用MRCI Hilbert空间的特殊结构,该公式允许在六个不同的相中评估所有矩阵元素,而与电子数,轨道数,参考数和所用计算机的节点数无关。使用面向对象的方法,我们已经在IBM-SP2计算机上用C ++实现并测试了该算法的对称适应性行列式版本。对于希尔伯特空间(最多12 X 10(6)行列式)在N-2和O-3上进行基准计算的初步结果表明,在实际计算中,向量重新分配工作可忽略不计。至关重要的是,要解决针对更大的希尔伯特空间进行计算的其余困难。 (C)1998美国物理研究所。 [S0021-9606(98)03403-5]。 [参考:33]

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