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A framework for estimating NBTI degradation of microarchitectural components
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Asia and South Pacific Design Automation Conference archive
Proceedings of the 2009 Asia and South Pacific Design Automation Conference table of contents
Yokohama, Japan
SESSION: Energy-aware system level design methodology table of contents
Pages 455-460  
Year of Publication: 2009
ISBN:978-1-4244-2748-2
Authors
Michael DeBole  The Pennsylvania State University, University Park, PA
K. Ramakrishnan  The Pennsylvania State University, University Park, PA
Varsha Balakrishnan  Arizona State University, Tempe, AZ
Wenping Wang  Arizona State University, Tempe, AZ
Hong Luo  Tsinghua University, Beijing, China
Yu Wang  Tsinghua University, Beijing, China
Yuan Xie  The Pennsylvania State University, University Park, PA
Yu Cao  Arizona State University, Tempe, AZ
N. Vijaykrishnan  The Pennsylvania State University, University Park, PA
Sponsors
: IEEE Circuits and Systems Society
SIGDA: ACM Special Interest Group on Design Automation
IEICE ESS : Institute of Electronics, Information and Communication Engineers - Engineering Sciences Society
IPSJ SIGSLDM : Information Processing Society of Japan - SIG System LSI Design Methodology
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 73,   Citation Count: 0
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ABSTRACT

Degradation of device parameters over the lifetime of a system is emerging as a significant threat to system reliability. Among the aging mechanisms, wearout resulting from NBTI is of particular concern in deep submicron technology generations. To facilitate architectural level aging analysis, a tool capable of evaluating NBTI vulnerabilities early in the design cycle has been developed. The tool includes workload-based temperature and performance degradation analysis across a variety of technologies and operating conditions, revealing a complex interplay between factors influencing NBTI timing degradation.


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:
Michael DeBole: colleagues
K. Ramakrishnan: colleagues
Varsha Balakrishnan: colleagues
Wenping Wang: colleagues
Hong Luo: colleagues
Yu Wang: colleagues
Yuan Xie: colleagues
Yu Cao: colleagues
N. Vijaykrishnan: colleagues