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Abstract
We present TProf, 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).
Original language | English |
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Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | Sustainable Computing: Informatics and Systems |
Volume | 5 |
Early online date | 12 Aug 2014 |
DOIs | |
Publication status | Published - Mar 2015 |
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Dive into the research topics of 'TProf: An energy profiler for task-parallel programs'. Together they form a unique fingerprint.Projects
- 5 Finished
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R6410CSC: NanoStreams: A Hardware and Software Stack for Real-Time Analytics on Fast Data Streams
Nikolopoulos, D. (PI), Spence, I. (CoI) & Woods, R. (CoI)
01/08/2013 → 28/02/2017
Project: Research
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R6396CSC: SCORPIO: Significance-Based Computing for Reliability and Power Optimization
Nikolopoulos, D. (PI) & Karakonstantis, G. (CoI)
01/08/2012 → 31/05/2016
Project: Research