Abstract
A portable parallel implementation of MLn, a multilevel modelling package, for shared memory parallel machines is described. Particular attention is paid to cross-classified and multiple membership models, which are more computationally demanding than those with simple hierarchical structure. Performance results are presented for a range of shared-memory parallel architectures, demonstrating a significant increase in the size of models which can be handled interactively. © 1999 Published by Elsevier Science B.V. All rights reserved.
Original language | English |
---|---|
Pages (from-to) | 457-474 |
Number of pages | 17 |
Journal | Computational Statistics and Data Analysis |
Volume | 31 |
Issue number | 4 |
Publication status | Published - 28 Oct 1999 |
Keywords
- Cross classification
- Multilevel models
- Multiple membership
- Parallel computing
- Shared memory
- Threads