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Evaluating the impact of job scheduling and power management on processor lifetime for chip multiprocessors
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Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems table of contents
Seattle, WA, USA
SESSION: Power management table of contents
Pages 169-180  
Year of Publication: 2009
ISBN:978-1-60558-511-6
Authors
Ayse K. Coskun  UC San Diego, La Jolla, CA, USA
Richard Strong  UC San Diego, La Jolla, CA, USA
Dean M. Tullsen  UC San Diego, La Jolla, CA, USA
Tajana Simunic Rosing  UC San Diego, La Jolla, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Temperature-induced reliability issues are among the major challenges for multicore architectures. Thermal hot spots and thermal cycles combine to degrade reliability. This research presents new reliability-aware job scheduling and power management approaches for chip multiprocessors. Accurate evaluation of these policies requires a novel simulation framework that can capture architecture-level effects over tens of seconds or longer, while also capturing thermal interactions among cores resulting from dynamic scheduling policies. Using this framework and a set of new thermal management policies, this work shows that techniques that offer similar performance, energy, and even peak temperature can differ significantly in their effects on the expected processor lifetime.


REFERENCES

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Collaborative Colleagues:
Ayse K. Coskun: colleagues
Richard Strong: colleagues
Dean M. Tullsen: colleagues
Tajana Simunic Rosing: colleagues