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Job Scheduling Strategies for Parallel Processing

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Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation
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    Chapter 2 Collection of Job Scheduling Prediction Methods
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    Chapter 3 Modular Workload Format: Extending SWF for Modular Systems
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    Chapter 4 Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems
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    Chapter 5 Scheduling Microservice Containers on Large Core Machines Through Placement and Coalescing
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    Chapter 6 Learning-Based Approaches to Estimate Job Wait Time in HTC Datacenters
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    Chapter 7 A HPC Co-scheduler with Reinforcement Learning
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    Chapter 8 Performance-Cost Optimization of Moldable Scientific Workflows
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    Chapter 9 Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS
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    Chapter 10 Scheduling Challenges for Variable Capacity Resources
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    Chapter 11 GLUME : A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms
Attention for Chapter 7: A HPC Co-scheduler with Reinforcement Learning
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