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Accelerating configuration interaction calculations for nuclear structure
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Proceedings of the 2008 ACM/IEEE conference on Supercomputing - Volume 00 table of contents
Austin, Texas
SECTION: Papers table of contents
Article No. 15  
Year of Publication: 2008
ISBN:978-1-4244-2835-9
Authors
Philip Sternberg  Lawrence Berkeley National Laboratory, Berkeley, CA
Esmond G. Ng  Lawrence Berkeley National Laboratory, Berkeley, CA
Chao Yang  Lawrence Berkeley National Laboratory, Berkeley, CA
Pieter Maris  Iowa State University, Ames, IA
James P. Vary  Iowa State University, Ames, IA
Masha Sosonkina  Iowa State University, Ames, IA
Hung Viet Le  Iowa State University, Ames, IA
Publisher
IEEE Press  Piscataway, NJ, USA
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ABSTRACT

One of the emerging computational approaches in nuclear physics is the configuration interaction (CI) method for solving the many-body nuclear Hamiltonian in a sufficiently large single-particle basis space to obtain exact answers - either directly or by extrapolation. The lowest eigenvalues and corresponding eigenvectors for very large, sparse and unstructured nuclear Hamiltonian matrices are obtained and used to evaluate additional experimental quantities. These matrices pose a significant challenge to the design and implementation of efficient and scalable algorithms for obtaining solutions on massively parallel computer systems. In this paper, we describe the computational strategies employed in a state-of-the-art CI code MFDn (Many Fermion Dynamics - nuclear) as well as techniques we recently developed to enhance the computational efficiency of MFDn. We will demonstrate the current capability of MFDn and report the latest performance improvement we have achieved. We will also outline our future research directions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Iain S. Duff, R. G. Grimes, and J. G. Lewis. Users' guide for the Harwell-Boeing sparse matrix collection (Release 1). Technical Report RAL 92--086, CERFACS, Chilton, Oxon, England, 1992.
 
2
Z. Gan, Y. Alexeev, M. S. Gordon, R. A. Kendall. The parallel implementation of a full configuration interaction program. J. Chem. Phys., 119:47--59, 2003.
 
3
 
4
R. B. Lehoucq, D. C. Sorensen, P. Vu, and C. Yang. ARPACK: An implementation of the Implicitly Re-started Arnoldi Iteration that computes some of the eigenvalues and eigenvectors of a large sparse matrix, 1995. Available from ftp.caam.rice.edu under the directory pub/software/ARPACK.
 
5
R. B. Lehoucq, D. C. Sorensen, and C. Yang. ARPACK USERS GUIDE: Solution of Large Scale Eigenvalue Problems by Implicitly Restarted Arnoldi Methods. SIAM, Philadelphia, PA, 1998.
 
6
 
7
E. Rossi, G. L. Bendazzoli, and S. Evangelisti. Full configuration interaction algorithm on a massively parallel architecture: Direct-list implementation J. Comp. Chem., 19(6):658:672, 1998.
 
8
 
9
J. P. Vary. The many-fermion dynamics shell-model code, 1992. unpublished.
 
10
J. P. Vary and D. C. Zheng. The many-fermion dynamics shell-model code, ibid., 1994. unpublished.
 
11
S. Wong. Introductory Nuclear Physics. Prentice-Hall, Englewood Cliffs, NJ., 1990.

Collaborative Colleagues:
Philip Sternberg: colleagues
Esmond G. Ng: colleagues
Chao Yang: colleagues
Pieter Maris: colleagues
James P. Vary: colleagues
Masha Sosonkina: colleagues
Hung Viet Le: colleagues