2000
DOI: 10.1002/(sici)1521-3951(200001)217:1<197::aid-pssb197>3.0.co;2-b
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Strategies for Massively Parallel Local-Orbital-Based Electronic Structure Methods

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Cited by 122 publications
(81 citation statements)
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“…All the calculations present in this paper are done with a modified version of NRLMOL [28][29][30], which is an electronic structure code based on Gaussian-type basis sets. We use the local spin density approximation (LSDA) [1,31] for exchange and correlation because of its simplicity, but there is no difficulty in using other energy functionals together with SC-FLOSIC.…”
Section: Resultsmentioning
confidence: 99%
“…All the calculations present in this paper are done with a modified version of NRLMOL [28][29][30], which is an electronic structure code based on Gaussian-type basis sets. We use the local spin density approximation (LSDA) [1,31] for exchange and correlation because of its simplicity, but there is no difficulty in using other energy functionals together with SC-FLOSIC.…”
Section: Resultsmentioning
confidence: 99%
“…Then, we perform an unrestricted, all-electron DFT geometry optimization using the NRL-MOL program package [30][31][32][33][34][35][36][37][38] . That includes the freedom to optimize the spin configuration with respect to energy.…”
Section: Computational Detailsmentioning
confidence: 99%
“…A recent comprehensive review of these efforts by Reine et al 5 includes discussions of least-square variational fitting methods 6,7 and Rys polynomials. 8 Other methods such as direct methods, 9 analytic algebraic decompositions, 10 tensor hypercontraction, 11 and multipole methods 12 are also widely used. Many of these methods support the hypothesis that the space of two-electron integrals is smaller than naively expected.…”
Section: Introductionmentioning
confidence: 99%
“…10 To achieve high efficiency on massively parallel architectures, it is necessary to ensure that the amount of information exchanged between processors is small and that the rate of information a) Electronic mail: mark.pederson@science.doe.gov exchange is intrinsically faster than the computing time used by any processor. For future low-power computing platforms it is desirable, if not expected, for each processor to have a very limited amount of computer memory.…”
Section: Introductionmentioning
confidence: 99%