Articles liés à Improving Performance of Sparse Numerical Linear Algebra...
Improving Performance of Sparse Numerical Linear Algebra Computations: Algorithmic optimization techniques for sparse direct and sparse iterative numerical solvers of large linear equations - Couverture souple
Présentation de l'éditeur
With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retaining ease of use of existing solutions. The implementations are timed and analyzed using a commonly accepted set of test matrices. Contemporary processors are used for the tests. The new factorization techniques are proven to be quite competitive with state of the art software. In addition, an optimization effort is applied to an iterative algorithm that stands out for its numerical robustness. This also gives satisfactory results on the tested computing platforms in terms of performance improvement. The same set of test matrices is used to enable an easy comparison between both investigated techniques, even though they are customarily treated separately in the literature. Possible extensions of the presented work range from easily conceivable merging with existing solutions to rather more evolved schemes dependent on hard to predict progress in theoretical and algorithmic research.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurLAP Lambert Academic Publishing
- Date d'édition2010
- ISBN 10 3838334698
- ISBN 13 9783838334691
- ReliureBroché
- Langueanglais
- Nombre de pages84
Acheter neuf
Afficher cet article
EUR 49
EUR 23 expédition depuis Allemagne vers Etats-Unis
Destinations, frais et délaisRésultats de recherche pour Improving Performance of Sparse Numerical Linear Algebra...
Image fournie par le vendeur
Improving Performance of Sparse Numerical Linear Algebra Computations
Edité par
LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10 : 3838334698
ISBN 13 : 9783838334691
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retaining ease of use of existing solutions. The implementations are timed and analyzed using a commonly accepted set of test matrices. Contemporary processors are used for the tests. The new factorization techniques are proven to be quite competitive with state of the art software. In addition, an optimization effort is applied to an iterative algorithm that stands out for its numerical robustness. This also gives satisfactory results on the tested computing platforms in terms of performance improvement. The same set of test matrices is used to enable an easy comparison between both investigated techniques, even though they are customarily treated separately in the literature. Possible extensions of the presented work range from easily conceivable merging with existing solutions to rather more evolved schemes dependent on hard to predict progress in theoretical and algorithmic research. 84 pp. Englisch. N° de réf. du vendeur 9783838334691
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Improving Performance of Sparse Numerical Linear Algebra Computations : Algorithmic optimization techniques for sparse direct and sparse iterative numerical solvers of large linear equations
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3838334698
ISBN 13 : 9783838334691
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retaining ease of use of existing solutions. The implementations are timed and analyzed using a commonly accepted set of test matrices. Contemporary processors are used for the tests. The new factorization techniques are proven to be quite competitive with state of the art software. In addition, an optimization effort is applied to an iterative algorithm that stands out for its numerical robustness. This also gives satisfactory results on the tested computing platforms in terms of performance improvement. The same set of test matrices is used to enable an easy comparison between both investigated techniques, even though they are customarily treated separately in the literature. Possible extensions of the presented work range from easily conceivable merging with existing solutions to rather more evolved schemes dependent on hard to predict progress in theoretical and algorithmic research. N° de réf. du vendeur 9783838334691
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Improving Performance of Sparse Numerical Linear Algebra Computations
Edité par
LAP Lambert Academic Publishing, 2009
ISBN 10 : 3838334698
ISBN 13 : 9783838334691
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retainin. N° de réf. du vendeur 5414047
Quantité disponible : Plus de 20 disponibles
Image d'archives
Improving Performance of Sparse Numerical Linear Algebra Computations: Algorithmic optimization techniques for sparse direct and sparse iterative numerical solvers of large linear equations
Edité par
LAP Lambert Academic Publishing, 2010
ISBN 10 : 3838334698
ISBN 13 : 9783838334691
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA79638383346986
Quantité disponible : 1 disponible(s)