Déjà client ? Identifiez-vous

Mot de passe oublié ?

Nouveau client ?

CRÉER VOTRE COMPTE
Scalable input/output
Ajouter à une liste

Librairie Eyrolles - Paris 5e
Indisponible

Scalable input/output

Scalable input/output

Achieving system balance

Daniel A. Reed - Collection Scientific and engineering computation series

376 pages, parution le 08/04/2004

Résumé

As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is a major constraint on the effective use of scientific data for research. Scalable lnput/0utput is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces.

Sommaire

  • I/O characterization and analysis
  • Collective I/O and large-scale data management
  • Building parallel database systems for multidimensional data
  • ADIO: a framework for high-performance, portable parallel I/O
  • Informed prefetching of collective input/output requests
  • Compiler support for out-of-core arrays on parallel machines
  • CLIP: a checkpointing tool for message passing parallel programs
  • Learning to classify parallel I/O access patterns
  • Thread scheduling for out-of-core applications with a memory server
  • A scalability study of shared virtual memory systems
Voir tout
Replier

Caractéristiques techniques

  PAPIER
Éditeur(s) The MIT Press
Auteur(s) Daniel A. Reed
Collection Scientific and engineering computation series
Parution 08/04/2004
Nb. de pages 376
Format 17,6 x 22,8
Couverture Broché
Poids 602g
Intérieur Noir et Blanc
EAN13 9780262681421
ISBN13 978-0-262-68142-1

Avantages Eyrolles.com

Livraison à partir de 0,01 en France métropolitaine
Paiement en ligne SÉCURISÉ
Livraison dans le monde
Retour sous 15 jours
+ d'un million et demi de livres disponibles
satisfait ou remboursé
Satisfait ou remboursé
Paiement sécurisé
modes de paiement
Paiement à l'expédition
partout dans le monde
Livraison partout dans le monde
Service clients sav.client@eyrolles.com
librairie française
Librairie française depuis 1925
Recevez nos newsletters
Vous serez régulièrement informé(e) de toutes nos actualités.
Inscription