DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver

Abstract

In this paper, we describe a number of recently developed techniques for improving the performance of large-scale nuclear configuration interaction calculations on high performance parallel computers. We show the benefit of using a preconditioned block iterative method to replace the Lanczos algorithm that has traditionally been used to perform this type of computation. The rapid convergence of the block iterative method is achieved by a proper choice of starting guesses of the eigenvectors and the construction of an effective preconditioner. These acceleration techniques take advantage of special structure of the nuclear configuration interaction problem which we discuss in detail. The use of a block method also allows us to improve the concurrency of the computation, and take advantage of the memory hierarchy of modern microprocessors to increase the arithmetic intensity of the computation relative to data movement. Finally, we also discuss the implementation details that are critical to achieving high performance on massively parallel multi-core supercomputers, and demonstrate that the new block iterative solver is two to three times faster than the Lanczos based algorithm for problems of moderate sizes on a Cray XC30 system.

Authors:
ORCiD logo [1];  [2];  [1];  [1];  [3];  [3]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
  2. Michigan State Univ., East Lansing, MI (United States). Dept. of Computer Science and Engineering
  3. Iowa State Univ., Ames, IA (United States). Dept. of Physics and Astronomy
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Nuclear Physics (NP); Michigan State Univ. (United States)
OSTI Identifier:
1439235
Alternate Identifier(s):
OSTI ID: 1550011
Grant/Contract Number:  
AC02-05CH11231; SC0008485; FG02-87ER40371; GE100082; DESC0008485
Resource Type:
Accepted Manuscript
Journal Name:
Computer Physics Communications
Additional Journal Information:
Journal Volume: 222; Journal ID: ISSN 0010-4655
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; nuclear configuration interaction; symmetric eigenvalue problem; LOBPCG; preconditioning

Citation Formats

Shao, Meiyue, Aktulga, H.  Metin, Yang, Chao, Ng, Esmond G., Maris, Pieter, and Vary, James P. Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver. United States: N. p., 2017. Web. doi:10.1016/j.cpc.2017.09.004.
Shao, Meiyue, Aktulga, H.  Metin, Yang, Chao, Ng, Esmond G., Maris, Pieter, & Vary, James P. Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver. United States. https://doi.org/10.1016/j.cpc.2017.09.004
Shao, Meiyue, Aktulga, H.  Metin, Yang, Chao, Ng, Esmond G., Maris, Pieter, and Vary, James P. Thu . "Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver". United States. https://doi.org/10.1016/j.cpc.2017.09.004. https://www.osti.gov/servlets/purl/1439235.
@article{osti_1439235,
title = {Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver},
author = {Shao, Meiyue and Aktulga, H.  Metin and Yang, Chao and Ng, Esmond G. and Maris, Pieter and Vary, James P.},
abstractNote = {In this paper, we describe a number of recently developed techniques for improving the performance of large-scale nuclear configuration interaction calculations on high performance parallel computers. We show the benefit of using a preconditioned block iterative method to replace the Lanczos algorithm that has traditionally been used to perform this type of computation. The rapid convergence of the block iterative method is achieved by a proper choice of starting guesses of the eigenvectors and the construction of an effective preconditioner. These acceleration techniques take advantage of special structure of the nuclear configuration interaction problem which we discuss in detail. The use of a block method also allows us to improve the concurrency of the computation, and take advantage of the memory hierarchy of modern microprocessors to increase the arithmetic intensity of the computation relative to data movement. Finally, we also discuss the implementation details that are critical to achieving high performance on massively parallel multi-core supercomputers, and demonstrate that the new block iterative solver is two to three times faster than the Lanczos based algorithm for problems of moderate sizes on a Cray XC30 system.},
doi = {10.1016/j.cpc.2017.09.004},
journal = {Computer Physics Communications},
number = ,
volume = 222,
place = {United States},
year = {Thu Sep 14 00:00:00 EDT 2017},
month = {Thu Sep 14 00:00:00 EDT 2017}
}

Journal Article:

Citation Metrics:
Cited by: 32 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Ab initio no core shell model
journal, March 2013

  • Barrett, Bruce R.; Navrátil, Petr; Vary, James P.
  • Progress in Particle and Nuclear Physics, Vol. 69
  • DOI: 10.1016/j.ppnp.2012.10.003

An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
journal, October 1950

  • Lanczos, C.
  • Journal of Research of the National Bureau of Standards, Vol. 45, Issue 4
  • DOI: 10.6028/jres.045.026

Improving the scalability of a symmetric iterative eigensolver for multi-core platforms: IMPROVING THE SCALABILITY OF A SYMMETRIC ITERATIVE EIGENSOLVER
journal, September 2013

  • Aktulga, Hasan Metin; Yang, Chao; Ng, Esmond G.
  • Concurrency and Computation: Practice and Experience, Vol. 26, Issue 16
  • DOI: 10.1002/cpe.3129

Minimization Principles for the Linear Response Eigenvalue Problem II: Computation
journal, January 2013

  • Bai, Zhaojun; Li, Ren-Cang
  • SIAM Journal on Matrix Analysis and Applications, Vol. 34, Issue 2
  • DOI: 10.1137/110838972

Adaptively Compressed Exchange Operator for Large-Scale Hybrid Density Functional Calculations with Applications to the Adsorption of Water on Silicene
journal, February 2017

  • Hu, Wei; Lin, Lin; Banerjee, Amartya S.
  • Journal of Chemical Theory and Computation, Vol. 13, Issue 3
  • DOI: 10.1021/acs.jctc.6b01184

An indefinite variant of LOBPCG for definite matrix pencils
journal, August 2013

  • Kressner, Daniel; Pandur, Marija Miloloža; Shao, Meiyue
  • Numerical Algorithms, Vol. 66, Issue 4
  • DOI: 10.1007/s11075-013-9754-3

Factorization in large-scale many-body calculations
journal, December 2013

  • Johnson, Calvin W.; Ormand, W. Erich; Krastev, Plamen G.
  • Computer Physics Communications, Vol. 184, Issue 12
  • DOI: 10.1016/j.cpc.2013.07.022

The Shell-Model Code NuShellX@MSU
journal, June 2014


A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations
journal, June 2017

  • Aktulga, Hasan Metin; Afibuzzaman, Md.; Williams, Samuel
  • IEEE Transactions on Parallel and Distributed Systems, Vol. 28, Issue 6
  • DOI: 10.1109/TPDS.2016.2630699

Methods of conjugate gradients for solving linear systems
journal, December 1952

  • Hestenes, M. R.; Stiefel, E.
  • Journal of Research of the National Bureau of Standards, Vol. 49, Issue 6
  • DOI: 10.6028/jres.049.044

A Jacobi–Davidson Iteration Method for Linear Eigenvalue Problems
journal, April 1996

  • G. Sleijpen, Gerard L.; Van der Vorst, Henk A.
  • SIAM Journal on Matrix Analysis and Applications, Vol. 17, Issue 2
  • DOI: 10.1137/S0895479894270427

Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell
journal, November 2015

  • Argentati, Merico E.; Knyazev, Andrew V.; Neymeyr, Klaus
  • Foundations of Computational Mathematics, Vol. 17, Issue 3
  • DOI: 10.1007/s10208-015-9297-1

A geometric theory for preconditioned inverse iteration I: Extrema of the Rayleigh quotient
journal, January 2001


A geometric theory forpreconditioned inverse iterationII: Convergence estimates
journal, January 2001


Krylov subspace methods for solving large unsymmetric linear systems
journal, September 1981


GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
journal, July 1986

  • Saad, Youcef; Schultz, Martin H.
  • SIAM Journal on Scientific and Statistical Computing, Vol. 7, Issue 3
  • DOI: 10.1137/0907058

Reducing the profile of sparse symmetric matrices
journal, December 1976


Basis selection in LOBPCG
journal, October 2006


Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method
journal, January 2001


An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
journal, October 1950

  • Lanczos, C.
  • Journal of Research of the National Bureau of Standards, Vol. 45, Issue 4
  • DOI: 10.6028/jres.045.026

Methods of conjugate gradients for solving linear systems
journal, December 1952

  • Hestenes, M. R.; Stiefel, E.
  • Journal of Research of the National Bureau of Standards, Vol. 49, Issue 6
  • DOI: 10.6028/jres.049.044

Works referencing / citing this record:

Few- and many-nucleon systems with semilocal coordinate-space regularized chiral two- and three-body forces
journal, February 2019


Ab initio calculations of p -shell nuclei up to N 2 LO in chiral Effective Field Theory
journal, July 2019


Experimental study of the low-lying negative-parity states in Be 11 using the B 12 ( d , He 3 ) Be 11 reaction
journal, December 2019


Effective interactions in the s d shell
journal, November 2019


Effective interactions in the sd shell
text, January 2019


Model Order Reduction Algorithm for Estimating the Absorption Spectrum
journal, September 2017

  • Van Beeumen, Roel; Williams-Young, David B.; Kasper, Joseph M.
  • Journal of Chemical Theory and Computation, Vol. 13, Issue 10
  • DOI: 10.1021/acs.jctc.7b00402