Job scheduling strategies for parallel processing : 7th international workshop, JSSPP 2001, Cambridge, MA, USA, June 16, 2001 : revised papers
This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001. The 11 revised full papers presented were carefully selected and improved during two rounds of...
Enregistré dans:
| Collectivité auteur: | |
|---|---|
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science
2221 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
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, 7th international workshop, JSSPP 2001, Cambridge, MA, USA, June 2001, revised papers, Dror G. Feitelson, Larry Rudolph (eds.), Berlin, Springer, 2001, 1 vol. (205 p.), Lecture notes in computer science, 3-540-42817-8 • Job Scheduling Strategies for Parallel Processing, Texte imprimé, 9783662197493 |
Table des matières:
- Performance Evaluation with Heavy Tailed Distributions
- SRPT Scheduling for Web Servers
- An Efficient and Scalable Coscheduling Technique for Large Symmetric Multiprocessor Clusters
- Coscheduling under Memory Constraints in a NOW Environment
- The Influence of Communication on the Performance of Co-allocation
- Core Algorithms of the Maui Scheduler
- On the Development of an Efficient Coscheduling System
- Effects of Memory Performance on Parallel Job Scheduling
- An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration
- Characteristics of a Large Shared Memory Production Workload
- Metrics for Parallel Job Scheduling and Their Convergence.