TY - GEN
A1 - Guarracino, Mario Rosario
A1 - Perla, Francesca
A1 - Zanetti, Paolo
A2 - Korbicz, Józef - red.
A2 - Uciński, Dariusz - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - In the present work we describe HPEC (High Performance Eigenvalues Computation), a parallel software package for the evaluation of some eigenvalues of a large sparse symmetric matrix. It implements an efficient and portable Block Lanczos algorithm for distributed memory multicomputers. HPEC is based on basic linear algebra operations for sparse and dense matrices, some of which have been derived by ScaLAPACK library modules.
N2 - Numerical experiments have been carried out to evaluate HPEC performance on a cluster of workstations with test matrices from Matrix Market and Higham?s collections. A comparison with a PARPACKroutine is also detailed. Finally, parallel performance is evaluated on random matrices, using standard parameters.
L1 - http://www.zbc.uz.zgora.pl/Content/57535/AMCS_2006_16_2_9.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/57535
KW - symmetric block Lanczos algorithm
KW - sparse matrices
KW - parallel eigensolver
KW - cluster architecture
T1 - A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=57535
ER -