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TProf: An energy profiler for task-parallel programs
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DOI：10.1016/j.suscom.2014.07.004.png)
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Abstract
En 中文
We present TPR0F, an energy profiling tool for OpenMP-like task-parallel programs. To compute the energy consumed by each task in a parallel application, TPRoF dynamically traces the parallel execution and uses a novel technique to estimate the per-task energy consumption. To achieve this estimation, TPRoF apportions the total processor energy among cores and overcomes the limitation of current works which would otherwise make parallel accounting impossible to achieve. We demonstrate the value of TPRoF by characterizing a set of task parallel programs, where we find that data locality, memory access patterns and task working sets are responsible for significant variance in energy consumption between seemingly homogeneous tasks. In addition, we identify opportunities for fine-grain energy optimization by applying per-task Dynamic Voltage and Frequency Scaling (DVFS). (C) 2014 Published by Elsevier Inc.
Keywords:
Energy profiling
Parallel programming models
Parallel runtime systems
Task parallelism
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