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Equivalence Among Stochastic Logic Circuits and its Application to Synthesis
Author(s) -
Te-Hsuan Chen,
John P. Hayes
Publication year - 2016
Publication title -
ieee transactions on emerging topics in computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.781
H-Index - 46
eISSN - 2376-4562
pISSN - 2168-6750
DOI - 10.1109/tetc.2016.2623796
Subject(s) - boolean function , equivalence (formal languages) , stochastic process , arithmetic function , discrete mathematics , stochastic computing , partition (number theory) , function (biology) , mathematics , computer science , algorithm , arithmetic , combinatorics , statistics , evolutionary biology , computation , biology
Stochastic computing (SC) uses standard logic to process pseudo-random bit-streams denoting probabilities. It implements arith-metic operations by extremely simple and low-power hardware. Despite major new applications, various aspects of SC's theory and design requirements are poorly understood. We observe that the Boolean functions used in SC take the form $f(X)\;= \;f(X_{{\mathrm{V}}};X_{{\math...

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