| A simulation methodology for reliability analysis in multi-core SoCs |
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Great Lakes Symposium on VLSI
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Proceedings of the 16th ACM Great Lakes symposium on VLSI
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Philadelphia, PA, USA
POSTER SESSION: Poster session 1
table of contents
Pages: 95 - 99
Year of Publication: 2006
ISBN:1-59593-347-6
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Downloads (6 Weeks): 7, Downloads (12 Months): 58, Citation Count: 1
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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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CITED BY
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Jin Guo , Antonis Papanikolaou , Michele Stucchi , Kristof Croes , Zsolt Tokei , Francky Catthoor, A tool flow for predicting system level timing failures due to interconnect reliability degradation, Proceedings of the 18th ACM Great Lakes symposium on VLSI, May 04-06, 2008, Orlando, Florida, USA
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