TY - GEN
T1 - A parallel algorithm for exact bayesian network inference
AU - Nikolova, Olga
AU - Zola, Jaroslaw
AU - Aluru, Srinivas
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Given n random variables and a set of m observations of each of the n variables, the Bayesian network inference problem is to infer a directed acyclic graph (DAG) on the n variables such that the implied joint probability distribution best explains the set of observations. Bayesian networks are widely used in many fields ranging from data mining to computational biology. Exact inference of Bayesian networks takes O(n2 · 2n) time plus the cost of O(n · 2n) evaluations of an application-specific scoring function. In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability of our method by an implementation on the IBM Blue Gene/L, with experimental results that exhibit near perfect scaling.
AB - Given n random variables and a set of m observations of each of the n variables, the Bayesian network inference problem is to infer a directed acyclic graph (DAG) on the n variables such that the implied joint probability distribution best explains the set of observations. Bayesian networks are widely used in many fields ranging from data mining to computational biology. Exact inference of Bayesian networks takes O(n2 · 2n) time plus the cost of O(n · 2n) evaluations of an application-specific scoring function. In this paper, we present a parallel algorithm for exact Bayesian inference that is work-optimal and communication-efficient. We demonstrate the applicability of our method by an implementation on the IBM Blue Gene/L, with experimental results that exhibit near perfect scaling.
UR - http://www.scopus.com/inward/record.url?scp=77952207369&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952207369&partnerID=8YFLogxK
U2 - 10.1109/HIPC.2009.5433194
DO - 10.1109/HIPC.2009.5433194
M3 - Conference contribution
AN - SCOPUS:77952207369
SN - 9781424449224
T3 - 16th International Conference on High Performance Computing, HiPC 2009 - Proceedings
SP - 342
EP - 349
BT - 16th International Conference on High Performance Computing, HiPC 2009 - Proceedings
T2 - 16th International Conference on High Performance Computing, HiPC 2009
Y2 - 16 December 2009 through 19 December 2009
ER -