Parallel processing algorithm for Bayesian network inference

Gil Kaspi, Joel Ratsaby

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We introduce an algorithm for Bayesian network inference using parallel computations that perform variable-elimination over multiple threads of execution. The algorithm can be implemented on a collection of parallel execution entities on a single FPGA. Each execution entity performs addition and multiplication. Relative to the standard bucket elimination, the parallel algorithm reduces the computational time by an amount that depends on the coupling (probabilistic dependency) of the network and on the evidence available at time of prediction query.

Original languageEnglish
Title of host publication2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs
StatePublished - 1 Dec 2012
Externally publishedYes
Event2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel
Duration: 14 Nov 201217 Nov 2012

Publication series

Name2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/TerritoryIsrael
CityEilat
Period14/11/1217/11/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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