| Temperature-aware test scheduling for multiprocessor systems-on-chip |
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International Conference on Computer Aided Design
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Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
table of contents
San Jose, California
SESSION: Test power and temperature control
table of contents
Pages 59-66
Year of Publication: 2008
ISBN ~ ISSN:1092-3152 , 978-1-4244-2820-5
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Authors
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David R. Bild
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Northwestern University, Evanston, IL
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Sanchit Misra
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Northwestern University, Evanston, IL
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Thidapat Chantemy
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University of Notre Dame, Notre Dame, IN
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Prabhat Kumar
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Northwestern University, Evanston, IL
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Robert P. Dick
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Northwestern University, Evanston, IL
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X. Sharon Hu
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University of Notre Dame, Notre Dame, IN
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Li Shang
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University of Colorado at Boulder, Boulder, CO
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Alok Choudhary
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Northwestern University, Evanston, IL
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IEEE Press
Piscataway, NJ, USA
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| Bibliometrics |
Downloads (6 Weeks): 25, Downloads (12 Months): 94, Citation Count: 0
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ABSTRACT
Increasing power densities due to process scaling, combined with high switching activity and poor cooling environments during testing, have the potential to result in high integrated circuit (IC) temperatures. This has the potential to damage ICs and cause good ICs to be discarded due to temperature-induced timing faults. We first study the power impact of scan chain testing for the ISCAS89 benchmarks. We find that the scan-chain test power consumption is 1.6x higher for at-speed testing than normal operating power consumption. We conclude that if the testing frequency is less than half of the normal frequency, then the testing power consumption may in fact be lower. However, due to differences in the cooling environments, the peak die temperatures may still be higher. Second, we present an optimal formulation for minimal-duration temperature-constrained test scheduling. Our results improve on the test schedule time of the best existing algorithm by 10.8% on average for a packaged IC thermal environment. We also present an efficient heuristic that generally produces the same results as the optimal algorithm, while requiring little CPU time, even for large problem instances.
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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