Energy efficient real-time task scheduling on CPU-GPU hybrid clusters

Keyphrases

• Consumption Reduction 50%
• CPU-GPU 100%
• Deadline Constraint 50%
• Dynamic Voltage Frequency Scaling 50%
• Dynamic Voltage Scaling 50%
• Energy Conservation 50%
• Energy Consumption 100%
• Energy Efficient 100%
• Energy Management 50%
• Energy Saving 100%
• Frequency Sets 50%
• GPU Acceleration 50%
• Heterogeneous Cluster 50%
• Heuristic Scheduling Algorithm 50%
• Hybrid Cluster 100%
• Large Data Center 50%
• Mathematical Optimization 50%
• Multi-task 50%
• Nonlinear Relationship 50%
• Performance Evaluation 50%
• Power Measurement 50%
• Processor Speed 50%
• Real-time Scheduling 100%
• Real-time Task 50%
• Scheduling Algorithm 50%
• Task Execution Time 50%
• Theoretical Upper Bound 50%
• Total Energy Consumption 50%
• Voltage Frequency 50%
• Work Study 50%
• World Power 50%

Computer Science

• Data Center 20%
• Dynamic Voltage and Frequency Scaling 20%
• Energy Consumption 40%
• Energy Efficient 100%
• Execution Time 20%
• Graphics Processing Unit 100%
• Heterogeneous Cluster 20%
• Mathematical Optimization 20%
• Multiple Task 20%
• Performance Evaluation 20%
• Scheduling Algorithm 40%
• Task Execution 20%
• task-scheduling 100%
• Total Energy Consumption 20%