Abstract
This paper presents the design and implementation of FPowerTool, a lightweight function-level profiling tool for measuring the energy consumption of program code. Based on the trace of energy usage and the timestamps of programs execution events, FPowerTool monitors and analyzes the power consumption of a program at runtime. Two issues have been addressed: associating the power consumption data with the individual function code segments and reducing the overhead of power profiling. FPowerTool adopts an approach which takes advantage of both sampling and dynamic instrumentation to address those issues. The energy consumed by code at the granularity of function is measured by sampling the energy usage hardware counters built in the CPU and the sampled value is associated to the corresponding code segments by offline analysis. Experiment results show that this approach significantly reduces the overhead of the program power profiling without significant interference to the timing of the original program execution.
| Original language | English |
|---|---|
| Article number | 8938795 |
| Pages (from-to) | 185710-185719 |
| Number of pages | 10 |
| Journal | IEEE Access |
| Volume | 7 |
| DOIs | |
| State | Published - 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Power measurement
- energy consumption
- function-level
- power profiling tool
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