Power efficient job scheduling by predicting the impact of processor manufacturing variability

Keyphrases

• Manufacturing Variations 100%
• Job Scheduling 100%
• Power Efficient 100%
• Power Consumption 50%
• Power Budget 50%
• Scheduling Policy 50%
• Manufacturing Process 25%
• Performance Degradation 25%
• Power Model 25%
• Traffic Scenarios 25%
• Scheduling Decisions 25%
• Negative Impact 25%
• System-wide 25%
• Parallel Applications 25%
• Parallel System 25%
• Single Node 25%
• Turnaround Time 25%
• Manufacturing Issues 25%
• System Administrator 25%
• Multi-node 25%
• Variability-Aware 25%
• Specific Applications 25%
• Production Clusters 25%
• Job Scheduler 25%
• Power Prediction Model 25%
• Consumption Variability 25%
• System Benefit 25%

Computer Science

• Power Consumption 100%
• Power Efficient 100%
• Scheduling Policy 100%
• Job Scheduling 100%
• Prediction Model 50%
• Parallel Application 50%
• Parallel System 50%
• System Administrator 50%
• Negative Impact 50%
• Performance Degradation 50%

Engineering

• Electric Power Utilization 100%
• Nodes 100%
• Power Budget 100%
• Scheduling Policy 100%
• Performance Degradation 50%
• Negative Impact 50%
• Scheduling Decision 50%
• Manufacturing Process 50%
• System Administrator 50%