Abstract #301618

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JSM 2002 Abstract #301618
Activity Number: 52
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #301618
Title: Parallel Implementation of Homogeneity Analysis
Author(s): Vanessa Beddo*+
Affiliation(s): University of California, Los Angeles
Address: 1874 Greenfield Avenue, Apt. 5, Los Angeles, California, 90025, USA
Keywords: multivariate analysis ; parallel algorithm ; scalable software
Abstract:

Homogeneity analysis, otherwise known as multiple correspondence analysis, is presented here as a parallel algorithm. For large sample sizes, the serial alternating least squares algorithm can be time consuming, and current software may be unable to handle the data manipulation required to produce a solution. This parallel version of homogeneity analysis was optimized for a distributed memory machine and can be implemented on a cluster of workstations. This architecture, also referred to as a Multiple Instruction, Multiple Data (MIMD) type, has a high inter-node communication overhead. As a result, many iterative algorithms are adversely affected by cluster designs. However, the design of this parallel homogeneity analysis program achieves significant speedups using the Message Passing Interface (MPI).

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