Job scheduling strategies for parallel processing : IPPS '95 workshop, Santa Barbara, CA, USA, April 1995 : proceedings

This volume contains the papers selected after a very careful refereeing process for presentation during the Workshop on Job Scheduling Stategies for Parallel Processing, held in Santa Barbara, California, as a prelude to the IPPS '95 conference in April 1995. The 19 full papers presented demon...

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Detalhes bibliográficos
Autor Corporativo: International Parallel Processing workshop :Santa Barbara
Outros Autores: Feitelson, Dror, 1960- (Directeur de la publication), Rudolph, Larry, 1954- (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Colecção:Lecture notes in computer science 949
Assuntos:
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Job scheduling strategies for parallel processing, IPPS '95 workshop, Santa Barbara, CA, USA, April 1995, proceedings, Dror G. Feitelson, Larry Rudolph, eds, Berlin, Springer-Verlag, 1995, 1 vol. (VIII-360 p.), Lecture notes in computer science, 3-540-60153-8
• Job Scheduling Strategies for Parallel Processing, Texte imprimé, 9783662179345
Sumário:
  • Parallel job scheduling: Issues and approaches
  • Scheduling on the Tera MTA
  • A scalable multi-discipline, multiple-processor scheduling framework for IRIX
  • Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors
  • Time Space Sharing Scheduling and architectural support
  • Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors
  • Multiprocessor scheduling for high-variability service time distributions
  • The interaction between memory allocation and adaptive partitioning in message-passing multicomputers
  • Analysis of non-work-conserving processor partitioning policies
  • Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors
  • A microeconomic scheduler for parallel computers
  • On the benefits and limitations of dynamic partitioning in parallel computer systems
  • Intelligent fuzzy control to augment scheduling capabilities of network queuing systems
  • Parallel processing on dynamic resources with CARMI
  • Job scheduling under the Portable Batch System
  • The ANL/IBM SP scheduling system
  • Requirements of the Cornell Theory Center for resource management and process scheduling
  • Job management requirements for nas parallel systems and clusters
  • Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860.