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A simulation methodology for reliability analysis in multi-core SoCs
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Source Great Lakes Symposium on VLSI archive
Proceedings of the 16th ACM Great Lakes symposium on VLSI table of contents
Philadelphia, PA, USA
POSTER SESSION: Poster session 1 table of contents
Pages: 95 - 99  
Year of Publication: 2006
ISBN:1-59593-347-6
Authors
Ayse K. Coskun  University of California San Diego (UCSD), La Jolla CA
Tajana Simunic Rosing  University of California San Diego (UCSD), La Jolla CA
Yusuf Leblebici  Ecole Polytecqhnique Federale de Lausanne, Switzerland
Giovanni De Micheli  Ecole Polytecqhnique Federale de Lausanne, Switzerland
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

Reliability has become a significant challenge for system design in new process technologies. Higher integration levels dramatically increase power densities, which leads to higher temperature and adverse effects on reliability. In this paper, we introduce a simulation methodology to analyze reliability of multi-core SoCs. The proposed simulator is the first to provide system-on-chip level fine-grained reliability analysis. We use our simulation methodology to study the reliability effects of design choices such as thermal packaging and placement, as well as runtime events such as power management policies and workload distributions.


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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Collaborative Colleagues:
Ayse K. Coskun: colleagues
Tajana Simunic Rosing: colleagues
Yusuf Leblebici: colleagues
Giovanni De Micheli: colleagues