Predicting energy consumption relevant indicators of strong scaling HPC applications for different compute resource configurations

Keyphrases

• Energy Consumption 100%
• Resource Configuration 100%
• CPU Frequency 100%
• High-performance Computing Application 100%
• Strong Scaling 100%
• Relevant Indicator 100%
• Analytical Model 66%
• Prediction Process 66%
• Computing Node 66%
• Energy Consumption Prediction 66%
• Power Consumption Prediction 66%
• Power Consumption 33%
• Execution Time 33%
• Prediction Model 33%
• Realistic Scenario 33%
• Potential Energy 33%
• Energy Conservation 33%
• Power Constraint 33%
• Cost Performance 33%
• Adaptation Models 33%
• Improved Estimation 33%
• Performance Tradeoff 33%
• Optimal Resource Allocation 33%
• Time Consumption 33%
• High Performance Computing 33%
• Energy Performance 33%
• Right Decision 33%
• Energy Suppliers 33%
• Data Center Energy Efficiency 33%
• Consumption Prediction 33%
• Energy-performance Tradeoff 33%
• Model Answer 33%
• Model Lightweight 33%
• Supercomputing Center 33%
• Execution Energy 33%
• Data Center Power 33%
• Adaptive Consumption 33%

Computer Science

• Resource Configuration 100%
• Data Center 100%
• High Performance Computing Application 100%
• Compute Resource 100%
• Energy Consumption 100%
• Power Consumption 75%
• Analytical Model 50%
• Energy Performance 50%
• Execution Time 25%
• Prediction Model 25%
• Time Consumption 25%
• High-Performance Computing 25%
• Application Execution 25%
• Energy Efficiency 25%
• Power Constraint 25%
• Boundary Condition 25%

Engineering

• Energy Provider 50%