Job Scheduling Strategies for Parallel Processing : 18th International Workshop, JSSPP 2014, Phoenix, AZ, USA, May 23, 2014. Revised Selected Papers /
This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. The 9 revised full papers presented were carefully reviewed and selected from 24 submi...
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| Other Authors: | , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Series: | Lecture notes in computer science ;
8828. |
| Subjects: | |
| Online Access: | Connect to this title online |
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| 245 | 0 | 0 | |a Job Scheduling Strategies for Parallel Processing : |b 18th International Workshop, JSSPP 2014, Phoenix, AZ, USA, May 23, 2014. Revised Selected Papers / |c edited by Walfredo Cirne, Narayan Desai. |
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| 505 | 0 | |a Bubble Task: A Dynamic Execution Throttling Method for Multi-core Resource Management -- Real-World Clustering for Task Graphs on Shared Memory Systems -- Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-time Systems -- Multi-Resource Aware Fairsharing for Heterogeneous Systems -- Priority Operators for Fairshare Scheduling -- User-Aware Metrics for Measuring Quality of Parallel Job Schedules -- Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems -- Dynamically Scheduling a Component-Based Framework in Clusters -- How to Design a Job Scheduling Algorithm. | |
| 520 | |a This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. The 9 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: single-core parallelism; moving to distributed-memory, larger-scale systems, scheduling fairness; and parallel job scheduling. | ||
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