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Power consumption and reduction in a real, commercial multimedia core
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Conference On Computing Frontiers archive
Proceedings of the 6th ACM conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Advanved architectures 2 table of contents
Pages 171-174  
Year of Publication: 2009
ISBN:978-1-60558-413-3
Authors
Dominic A. Antonelli  UC Berkeley, Berkeley, CA, USA
Alan Jay Smith  UC Berkeley, Berkeley, CA, USA
Jan-Willem van de Waerdt  NXP Semiconductors, San Jose, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Peak power and total energy consumption are key factors in the design of embedded microprocessors. Many techniques have been shown to provide great reductions in peak power and/or energy consumption. Unfortunately, several unrealistic assumptions are often made in research studies, especially in regards to multimedia processors. This paper focuses on power reduction in real commercial processors, and how that differs from more abstract research studies.

We study the power consumption of the TriMedia TM3270, an embedded, synthesized microprocessor used in several commercial products, on both and simulation tools. We find that increased functional unit utilization and memory access density causes significant differences in power consumption between compiler-optimized and carefully hand-optimized code. We also apply some simple techniques for power savings with no performance degradation, though the focus of the paper is the evaluation of such techniques, not the techniques themselves.


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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Kashic Ali, Mokhtar Aboelaze, and Suprakash Datta. Predictive Line Buffer: A Fast, Energy Efficient Cache Architecture. In Proc. IEEE SoutheastCon, pages 291--295, 2006.
 
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Dominic Aldo Antonelli, Alan Jay Smith, and Jan-Willem van de Waerdt. Power Consumption in a Real, Commercial Multimedia Core. UC Berkeley. http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-24.pdf
 
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Deependra Talla, Lizy K. John, and Doug Burger. Hardware Support to Reduce Overhead in Fine-Grain Media Codes. Technical report, Austin, TX, USA, 2001.
 
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Collaborative Colleagues:
Dominic A. Antonelli: colleagues
Alan Jay Smith: colleagues
Jan-Willem van de Waerdt: colleagues