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Formal Methods in System Design
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Formal Methods in System Design
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Efficient Data Race Detection for Async-Finish Parallelism

Efficient data race detection for async-finish parallelism
descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 01 Jan 2010 English Publisher:Springer Berlin HeidelbergJournal:Formal Methods in System Design, volume 41, pages 321-347 (issn: 0925-9856, eissn: 1572-8102, Copyright policy )
Authors: Raghavan Raman; Jisheng Zhao; Vivek Sarkar; Martin T. Vechev; Eran Yahav;

doi: 10.1007/978-3-642-16612-9_28 , 10.1007/s10703-012-0143-7

Efficient Data Race Detection for Async-Finish Parallelism

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Keywords

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.), parallel programming, program analysis, Theory of programming languages, data races, determinism, Parallel algorithms in computer science, Performance evaluation, queueing, and scheduling in the context of computer systems

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    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).
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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!
44
Top 10%
Top 10%
Average
bronze