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http://arxiv.org/pdf/cs/060503...
Part of book or chapter of book
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https://doi.org/10.1007/118179...
Part of book or chapter of book . 2006 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2006
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Fast and Generalized Polynomial Time Memory Consistency Verification

Authors: Amitabha Roy 0002; Stephan Zeisset; Charles J. Fleckenstein; John C. Huang;

Fast and Generalized Polynomial Time Memory Consistency Verification

Abstract

The problem of verifying multi-threaded execution against the memory consistency model of a processor is known to be an NP hard problem. However polynomial time algorithms exist that detect almost all failures in such execution. These are often used in practice for microprocessor verification. We present a low complexity and fully parallelized algorithm to check program execution against the processor consistency model. In addition our algorithm is general enough to support a number of consistency models without any degradation in performance. An implementation of this algorithm is currently used in practice to verify processors in the post silicon stage for multiple architectures.

To appear in the proceedings of Computer Aided Verification (CAV) 2006

Keywords

Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Performance, Hardware Architecture (cs.AR), Computer Science - Hardware Architecture, Logic in Computer Science (cs.LO)

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
Green