•  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous     
  •  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous

Hierarchical Scheduling in Parallel and Cluster Systems

Sivarama Dandamudi
Livre relié | Anglais | Computer Science
259,45 €
+ 518 points
Format
Livraison 2 à 3 semaines
Passer une commande en un clic
Payer en toute sécurité
Livraison en Belgique: 3,99 €
Livraison en magasin gratuite

Description

Multiple processor systems are an important class of parallel systems. Over the years, several architectures have been proposed to build such systems to satisfy the requirements of high performance computing. These architectures span a wide variety of system types. At the low end of the spectrum, we can build a small, shared-memory parallel system with tens of processors. These systems typically use a bus to interconnect the processors and memory. Such systems, for example, are becoming commonplace in high-performance graph- ics workstations. These systems are called uniform memory access (UMA) multiprocessors because they provide uniform access of memory to all pro- cessors. These systems provide a single address space, which is preferred by programmers. This architecture, however, cannot be extended even to medium systems with hundreds of processors due to bus bandwidth limitations. To scale systems to medium range i. e., to hundreds of processors, non-bus interconnection networks have been proposed. These systems, for example, use a multistage dynamic interconnection network. Such systems also provide global, shared memory like the UMA systems. However, they introduce local and remote memories, which lead to non-uniform memory access (NUMA) architecture. Distributed-memory architecture is used for systems with thousands of pro- cessors. These systems differ from the shared-memory architectures in that there is no globally accessible shared memory. Instead, they use message pass- ing to facilitate communication among the processors. As a result, they do not provide single address space.

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
251
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9780306477614
Date de parution :
30-06-03
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
173 mm x 221 mm
Poids :
571 g

Les avis