Entropy of Parallel Execution and Communication

Ernesto Gomez, Zongqi "Ritchie" Cai, Keith Evan Schubert


We propose a definition of parallel state, derive a phase space from this state, and
calculate the entropy of states and full executions using combinatorial analysis.
A main contribution of this work is theintroduction of an experimentally measurable phase space, which we then use to analyzeexecution states, ensembles of states, and ensembles of complete executions. We show that
the entropy analysis reveals both expected and unexpected features of execution, andapplication of principal component analysis shows capability to extract execution details at the level of individualprocess states, as well as reveal hardware properties such as network or memory communications.


entropy; phase space; parallel state; interprocess communication

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