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Calibrating quantum chemistry: A multi-teraflop, parallel-vector, full-configuration interaction program for the Cray-X1

  • Oak Ridge National Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

We describe an efficient parallel and vector algorithm for solving huge eigen-vector problems in quantum chemistry. An automatically adaptive, single-vector, iterative diagonalization method was also developed to reduce the memory requirement and avoid an I/O bottleneck. Our initial full-configuration interaction calculation solved for an eigenvector with 65 billion coefficients and was performed on 432 MSPs of the Oak Ridge National Laboratory Cray-X1. One matrix-vector multiplication took about 4 minutes, with 25 iterations being required for a tightly converged result. The aggregate performance was 3.4TFLOP/s (62% of peak speed).

Original languageEnglish
Title of host publicationProceedings of the ACM/IEEE SC 2005 Conference, SC 2005
PublisherAssociation for Computing Machinery
ISBN (Electronic)1595930612
DOIs
StatePublished - 2005
Event2005 ACM/IEEE Conference on Supercomputing, SC 2005 - Seattle, United States
Duration: Nov 12 2005Nov 18 2005

Publication series

NameProceedings of the International Conference on Supercomputing
Volume2005-November

Conference

Conference2005 ACM/IEEE Conference on Supercomputing, SC 2005
Country/TerritoryUnited States
CitySeattle
Period11/12/0511/18/05

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