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Dynamic thermal-aware scheduling on chip multiprocessor for soft real-time system
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Source
Great Lakes Symposium on VLSI archive
Proceedings of the 19th ACM Great Lakes symposium on VLSI table of contents
Boston Area, MA, USA
POSTER SESSION: Poster session 2 table of contents
Pages 393-396  
Year of Publication: 2009
ISBN:978-1-60558-522-2
Authors
Jin Cui  Nanyang Technological University, Singapore, Singapore
Douglas L. Maskell  Nanyang Technological University, Singapore, Singapore
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Thermal aware scheduling (TAS) is an important system level solution for dealing with the thermal issues on CMP. We propose a TAS algorithm based on look up tables to allow the rapid calculation of the post-thermal map from the current thermal profile. We propose two different metrics for determining where to place the task: one based on the maximum core temperature in the post-thermal map; and another based on the sum of the product of the post-thermal map temperature and the remaining task runtime for each core. Experimental results show that our algorithms are better, particularly for high power applications, at minimizing the peak/average temperature, and are able to achieve an average rejection ratio of about 30% to 50% of that chieved by existing algorithms from the literature.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. Chrobak, C. DMurr, M. Hurand, and J. Robert. Algorithms for temperature-aware task scheduling in microprocessor systems. cs.DS, Vol.1:1--13, Jan 2008.
 
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Collaborative Colleagues:
Jin Cui: colleagues
Douglas L. Maskell: colleagues