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37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07)
Utilizing Dynamically Coupled Cores to Form a Resilient Chip Multiprocessor
Edinburgh, UK
June 25-June 28
ISBN: 0-7695-2855-4
Christopher LaFrieda, Cornell University, USA
Engin Ipek, Cornell University, USA
Jose F. Martinez, Cornell University, USA
Rajit Manohar, Cornell University, USA
Aggressive CMOS scaling will make future chip multiprocessors (CMPs) increasingly susceptible to transient faults, hard errors, manufacturing defects, and process variations. Existing fault-tolerant CMP proposals that implement dual modular redundancy (DMR) do so by statically binding pairs of adjacent cores via dedicated communication channels and buffers. This can result in unnecessary power and performance losses in cases where one core is defective (in which case the entire DMR pair must be disabled), or when cores exhibit different frequency/leakage characteristics due to process variations (in which case the pair runs at the speed of the slowest core). Static DMR also hinders power density/ thermal management, as DMR pairs running code with similar power/thermal characteristics are necessarily placed next to each other on the die.

We present dynamic core coupling (DCC), an architectural technique that allows arbitrary CMP cores to verify each other?s execution while requiring no static core binding at design time or dedicated communication hardware. Our evaluation shows that the performance overhead of DCC over a CMP without fault tolerance is 3% on SPEC2000 benchmarks, and is within 5% for a set of scalable parallel scientific and data mining applications with up to eight threads (16 processors). Our results also show that DCC has the potential to significantly outperform existing static DMR schemes.

Citation:
Christopher LaFrieda, Engin Ipek, Jose F. Martinez, Rajit Manohar, "Utilizing Dynamically Coupled Cores to Form a Resilient Chip Multiprocessor," dsn, pp.317-326, 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07), 2007
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