Parallelizing Probabilistic Inference: Some Early Explorations
Bruce D'Ambrosio, Tony Fountain, Zhaoyu Li
We report on an experimental investigation into opportunities for parallelism in beliefnet inference. Specifically, we report on a study performed of the available parallelism, on hypercube style machines, of a set of randomly generated belief nets, using factoring (SPI) style inference algorithms. Our results indicate that substantial speedup is available, but that it is available only through parallelization of individual conformal product operations, and depends critically on finding an appropriate factoring. We find negligible opportunity for parallelism at the topological, or clustering tree, level.
PDF Link: /papers/92/p59-d_ambrosio.pdf
AUTHOR = "Bruce D'Ambrosio
and Tony Fountain and Zhaoyu Li",
TITLE = "Parallelizing Probabilistic Inference: Some Early Explorations",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "59--66"