Citation
Low Energy Scheduling with Power Heterogeneous Multiprocessor Systems. In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA, pages 297-307, 2011.
Paper
Abstract
In this paper we consider low energy scheduling for power heterogeneous multiprocessor systems. This is a fast developing area that is of great importance and is currently being researched by both industry and academia. This is partially because heterogeneous multiprocessor systems are more prevalent than one would expect, homogeneous systems often become heterogeneous due to manufacturing inaccuracies. We have developed an algorithm which transforms any multiprocessor system into a Virtual Single Processor (VSP); the VSP is a result of combining the component processors in an pareto-optimal way with regards to overall system speed and energy consumption. Using the VSP approach existing speed scaling algorithms (which were designed for single processor systems) can be applied to heterogeneous multiprocessor systems. In this study we focus on algorithms which which minimise SUM(Flow) + Energy in conjunction with our VSP approach as SUM(Flow) + Energy minimisation is applicable to many real world situations.
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Bibtex
@INPROCEEDINGS{2011-297-307-P, author = {R. Dobson and K. Steinhöfel},
title = {Low Energy Scheduling with Power Heterogeneous Multiprocessor Systems},
booktitle = {In proceedings of the 5th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2011), 9-11 August 2011, Phoenix, Arizona, USA},
year = {2011},
editor = {J. Fowler and G. Kendall and B. McCollum},
pages = {297--307},
note = {Paper},
abstract = {In this paper we consider low energy scheduling for power heterogeneous multiprocessor systems. This is a fast developing area that is of great importance and is currently being researched by both industry and academia. This is partially because heterogeneous multiprocessor systems are more prevalent than one would expect, homogeneous systems often become heterogeneous due to manufacturing inaccuracies. We have developed an algorithm which transforms any multiprocessor system into a Virtual Single Processor (VSP); the VSP is a result of combining the component processors in an pareto-optimal way with regards to overall system speed and energy consumption. Using the VSP approach existing speed scaling algorithms (which were designed for single processor systems) can be applied to heterogeneous multiprocessor systems. In this study we focus on algorithms which which minimise SUM(Flow) + Energy in conjunction with our VSP approach as SUM(Flow) + Energy minimisation is applicable to many real world situations.},
owner = {gxk},
timestamp = {2011.08.15},
webpdf = {2011-297-307-P.pdf} }