Experiments with parallel one-sided and two-sided algorithms for SVD
Identifieur interne :
000D29 ( PascalFrancis/Curation );
précédent :
000D28;
suivant :
000D30
Experiments with parallel one-sided and two-sided algorithms for SVD
Auteurs : M. Becka [
Slovaquie] ;
S. Robert [
France] ;
M. Vajtersic [
Slovaquie,
Autriche]
Source :
-
Lecture notes in computer science [ 0302-9743 ] ; 1999.
RBID : Pascal:99-0209438
Descripteurs français
English descriptors
Abstract
A paper reports on testing parallel SVD algorithms for matrices arising from selected scientific and industrial applications. The codes for the SVD are based respectively on the one-sided and the two-sided Jacobi approach. The matrices come from solving problems of the diffraction process in the crystallography, the diffusion equation in the reactor physics and from the aircraft industry. A parallelization of each of these approaches is described. Results from computational experiments performed on the Paragon machine with 56 processors are presented and discussed.
| pA |
| A01 | 01 | 1 | | @0 0302-9743 |
|---|
| A05 | | | | @2 1557 |
|---|
| A08 | 01 | 1 | ENG | @1 Experiments with parallel one-sided and two-sided algorithms for SVD |
|---|
| A09 | 01 | 1 | ENG | @1 Parallel computation : Salzburg, 16-18 February 1999 |
|---|
| A11 | 01 | 1 | | @1 BECKA (M.) |
|---|
| A11 | 02 | 1 | | @1 ROBERT (S.) |
|---|
| A11 | 03 | 1 | | @1 VAJTERSIC (M.) |
|---|
| A12 | 01 | 1 | | @1 ZINTERHOF (Peter) @9 ed. |
|---|
| A12 | 02 | 1 | | @1 VAJTERSIC (Marian) @9 ed. |
|---|
| A12 | 03 | 1 | | @1 UHL (Andreas) @9 ed. |
|---|
| A14 | 01 | | | @1 Institute for Informatics, Slovak Academy of Sciences @2 Bratislava @3 SVK @Z 1 aut. @Z 3 aut. |
|---|
| A14 | 02 | | | @1 LORIA @2 Vandoeuvre-Lès-Nancy @3 FRA @Z 2 aut. |
|---|
| A14 | 03 | | | @1 Institute for Mathematics, University of Salzburg @3 AUT @Z 3 aut. |
|---|
| A18 | 01 | 1 | | @1 Austrian Center for Parallel Computation @3 AUT @9 patr. |
|---|
| A20 | | | | @1 48-57 |
|---|
| A21 | | | | @1 1999 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A26 | 01 | | | @0 3-540-65641-3 |
|---|
| A43 | 01 | | | @1 INIST @2 16343 @5 354000073157410050 |
|---|
| A44 | | | | @0 0000 @1 © 1999 INIST-CNRS. All rights reserved. |
|---|
| A45 | | | | @0 9 ref. |
|---|
| A47 | 01 | 1 | | @0 99-0209438 |
|---|
| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 Lecture notes in computer science |
|---|
| A66 | 01 | | | @0 DEU |
|---|
| C01 | 01 | | ENG | @0 A paper reports on testing parallel SVD algorithms for matrices arising from selected scientific and industrial applications. The codes for the SVD are based respectively on the one-sided and the two-sided Jacobi approach. The matrices come from solving problems of the diffraction process in the crystallography, the diffusion equation in the reactor physics and from the aircraft industry. A parallelization of each of these approaches is described. Results from computational experiments performed on the Paragon machine with 56 processors are presented and discussed. |
|---|
| C02 | 01 | X | | @0 001D02B08 |
|---|
| C03 | 01 | X | FRE | @0 Simulation ordinateur @5 01 |
|---|
| C03 | 01 | X | ENG | @0 Computer simulation @5 01 |
|---|
| C03 | 01 | X | SPA | @0 Simulación computadora @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Simulation numérique @5 02 |
|---|
| C03 | 02 | X | ENG | @0 Numerical simulation @5 02 |
|---|
| C03 | 02 | X | SPA | @0 Simulación numérica @5 02 |
|---|
| C03 | 03 | X | FRE | @0 Calcul matriciel @5 03 |
|---|
| C03 | 03 | X | ENG | @0 Matrix calculus @5 03 |
|---|
| C03 | 03 | X | SPA | @0 Cálculo de matrices @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Décomposition valeur singulière @5 04 |
|---|
| C03 | 04 | X | ENG | @0 Singular value decomposition @5 04 |
|---|
| C03 | 04 | X | SPA | @0 Decomposición valor singular @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Algorithme parallèle @5 05 |
|---|
| C03 | 05 | X | ENG | @0 Parallel algorithm @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Algoritmo paralelo @5 05 |
|---|
| C03 | 06 | X | FRE | @0 Algorithme rapide @5 06 |
|---|
| C03 | 06 | X | ENG | @0 Fast algorithm @5 06 |
|---|
| C03 | 06 | X | SPA | @0 Algoritmo rápido @5 06 |
|---|
| N21 | | | | @1 130 |
|---|
|
|---|
| pR |
| A30 | 01 | 1 | ENG | @1 International ACPC conference @2 4 @3 Salzburg AUT @4 1999-02-16 |
|---|
|
|---|
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</keywords><front><div type="abstract" xml:lang="en">A paper reports on testing parallel SVD algorithms for matrices arising from selected scientific and industrial applications. The codes for the SVD are based respectively on the one-sided and the two-sided Jacobi approach. The matrices come from solving problems of the diffraction process in the crystallography, the diffusion equation in the reactor physics and from the aircraft industry. A parallelization of each of these approaches is described. Results from computational experiments performed on the Paragon machine with 56 processors are presented and discussed.</div>
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<s5>04</s5>
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