Big data in multi-block data analysis: An approach to parallelizing Partial Least Squares Mode B algorithm.

ABSTRACT: Partial Least Squares (PLS) Mode B is a multi-block method and a tightly coupled algorithm for estimating structural equation models (SEMs). Describing key aspects of parallel computing, we approach the parallelization of the PLS Mode B algorithm to operate on large distributed data. We show the scalability and performance of the algorithm at a very fine-grained level thanks to the versatility of pbdR, a R-project library for parallel computing. We vary several factors under different data distribution schemes in a supercomputing environment. Shorter elapsed times are obtained for the square-blocking factor 16 × 16 using a grid of processors as square as possible and non-square blocking factors 1000 × 4 and 10000 × 4 using an one-column grid of processors. Depending on the configuration, d

SUBMITTER: Martinez-Ruiz A 

PROVIDER: S-EPMC6495082 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature