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Reducing power density through activity migration
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 2003 international symposium on Low power electronics and design table of contents
Seoul, Korea
SESSION: Temperature and power aware architectures table of contents
Pages: 217 - 222  
Year of Publication: 2003
ISBN:1-58113-682-X
Authors
Seongmoo Heo  MIT Laboratory for Computer Science, Cambridge, MA
Kenneth Barr  MIT Laboratory for Computer Science, Cambridge, MA
Krste Asanović  MIT Laboratory for Computer Science, Cambridge, MA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 64,   Citation Count: 46
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ABSTRACT

Power dissipation is unevenly distributed in modern microprocessors leading to localized hot spots with significantly greater die temperature than surrounding cooler regions. Excessive junction temperature reduces reliability and can lead to catastrophic failure. We examine the use of activity migration which reduces peak junction temperature by moving computation between multiple replicated units. Using a thermal model that includes the temperature dependence of leakage power, we show that sustainable power dissipation can be increased by nearly a factor of two for a given junction temperature limit. Alternatively, peak die temperature can be reduced by 12.4°C at the same clock frequency. The model predicts that migration intervals of around 20--200 are required to achieve the maximum sustainable power increase. We evaluate several different forms of replication and migration policy control.


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.

 
1
 
2
Predictive technology model. Technical report, UC Berkeley, 2001.
 
3
 
4
D. Burger and T. M. Austin. The SimpleScalar tool set, version 2.0. Technical Report CS-TR-97-1342, Univ. of Wisconsin Comp. Sci. Dept., Jun. 1997.
 
5
J. Deeney. Thermal modeling and measurement of large high-power silicon devices with asymmetric power distribution. In IMAPS, Sep. 2002.
 
6
B. A. Gieseke et al. A 600MHz superscalar RISC microprocessor with out-of-order execution. ISSCC, pages 176--177, Feb. 1997.
 
7
Intel. Intel to introduce new technologies to reduce power consumption of mpus, Aug. 2002. http://www.esi-online.com.sg/news/view/default.asp?newId=10.
 
8
S. Sair and M. Charney. Memory behavior of the SPEC2000 benchmark suite. Technical Report RC 21852, IBM, Oct. 2000.
9
 
10
 
11
Standard Performance Evaluation Corp. CPU2000, 2000.
 
12
C. Weaver. SPEC2000 Alpha binaries (little endian).

CITED BY  47

Collaborative Colleagues:
Seongmoo Heo: colleagues
Kenneth Barr: colleagues
Krste Asanović: colleagues