Job scheduling strategies for parallel processing : IPPS '97 Workshop, Geneva, Switzerland, April 5, 1997 : proceedings
This book constitutes the strictly refereed post-workshop proceedings of the 1997 IPPS Workshop on Job Scheduling Strategies for Parallel Processing held in Geneva, Switzerland, in April 1997, as a satelite meeting of the IEEE/CS International Parallel Processing Symposium. The 12 revised full paper...
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| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colección: | Lecture notes in computer science
1291 |
| Materias: | |
| Acceso en línea: | 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 '97 Workshop, Geneva, Switzerland, April 5, 1997 proceedings, Dror G. Feitelson, Larry Rudolph, eds, 1997, Berlin, Springer, 1 vol. (VI-299 p.), Lecture notes in computer science, 3-540-63574-2 • Job Scheduling Strategies for Parallel Processing, Texte imprimé, 9783662197943 |
Tabla de Contenidos:
- Theory and practice in parallel job scheduling
- Using queue time predictions for processor allocation
- A historical application profiler for use by parallel schedulers
- Memory usage in the LANL CM-5 workload
- Modeling of workload in MPPs
- PScheD Political scheduling on the CRAY T3E
- An experimental evaluation of processor pool-based scheduling for shared-memory NUMA multiprocessors
- Implementing multiprocessor scheduling disciplines
- Objective-oriented algorithm for job scheduling in parallel heterogeneous systems
- Implications of I/O for gang scheduled workloads
- Improved utilization and responsiveness with gang scheduling
- Global state detection using network preemption
- Performance evaluation of gang scheduling for parallel and distributed multiprogramming.