Statistical Engineering Division
Seminar Series

Hierarchial Modeling of SUpercomputer Reliability: Abstract

Kenneth Ryan
Department of Statistics
Iowa State University

Los Alamos National Laboratory is home to one of the World's fastest supercomputers--Blue Mountain. This machine was created by parallelizing desktop computers. To help determine whether or not this type of architecture represents the future of supercomputing, reliability must be estimated. This paper presents and analyzes failure data for Blue Mountain. Nonhomogeneous Poisson processes are fit to the data within a hierarchical Bayesian framework. The task of selecting hyperparameters is discussed, and Bayes factors are used to compare models.

Date created: 6/5/2001
Last updated: 6/21/2001
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