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Time-energy measured data on modern multicore systems running shared-memory applications.
Dumitrel Loghin1, Yong Meng Teo1
1National University of Singapore, Singapore.
Data in Brief
|November 12, 2019
Summary
This study analyzes execution time and energy consumption in multicore systems running shared-memory applications. The findings provide insights into system performance and resource utilization for researchers and developers.
Area of Science:
- Computer Science
- Performance Engineering
- Energy-Efficient Computing
Background:
- Modern multicore systems are prevalent in high-performance computing.
- Understanding execution time and energy consumption is crucial for optimizing applications.
Purpose of the Study:
- To present execution time and energy data from multicore systems.
- To analyze this data using established analytic models.
- To provide a foundation for further research in performance and energy efficiency.
Main Methods:
- Data collection from modern multicore systems.
- Execution of shared-memory applications.
- Analysis using developed analytic models.
- Description of the experimental setup.
Main Results:
- Sample execution time data presented.
- Sample energy consumption data presented.
- Analysis of system performance characteristics.
Conclusions:
- The study provides valuable data for understanding multicore system performance.
- The data and source code are available for reproducibility and further investigation.
- Insights into energy usage patterns for shared-memory applications are offered.
Keywords:
Amdahl's lawAnalytic modelGustafson's lawMulticore systemShared-memoryTime-energy performanceMore Related Videos
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