Time-energy

Time-energy measures execution time and energy consumption of shared-memory applications on modern multicore systems and analyzes the measurements with analytic models to characterize performance and energy-efficiency.

Key Features:

• Data Collection: Systematically measures execution time and energy consumption for shared-memory applications running on modern multicore architectures.
• Analytic Models: Applies predefined analytic models to process and interpret collected execution time and energy data to reveal system performance dynamics.

Scientific Applications:

• Performance and Energy Optimization: Provides empirical measurements and model-based analyses to guide optimization of performance and energy efficiency in multicore systems.
• Resource Allocation and Scheduling Analysis: Informs decisions on resource allocation, scheduling, and system design by characterizing application behavior on shared-memory multicore architectures.

Methodology:

Execute shared-memory applications on modern multicore systems, collect execution time and energy consumption data, and analyze the collected data using predefined analytic models.