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MADCAPP: Measurement and analysis of high-level communications of asynchronous distributed algorithms on parallel processors

Authors: Colin W. Gillis;

MADCAPP: Measurement and analysis of high-level communications of asynchronous distributed algorithms on parallel processors

Abstract

The issue of correctness of complex asyn chronorcs distributed algorithms imple mented on loosely coupled parallel processor systemsis difficult to address given the lack of effective debugging tools. In such systems, messages propagate asynchronously over physical connections and precise knowledge of the state of every message in the system at any instant of time is difficult to obtain. For a particular class of asynchronous distrib uted algorithrns [1,2,5] that may be charac terized by independent models that execute asynchronously on the processors and interact with one another only through explicit messages, the following reasoning applies. Information on the flow and content of messages and the activity of the processors is significant towards under standing the functional correctness of the implementation. This paper proposes a new approach , MADCAPP, to measure and analyze high- level message communication and the activity level of the processors.

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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!
5
Average
Average
Average
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