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FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters.

Authors :
Martínez, Héctor
Barrachina, Sergio
Castillo, Maribel
Quintana-OrtÍ, Enrique S.
Rambla de Argila, Jordi
Farré, Xavier
Navarro, Arcadi
Source :
Journal of Computational Biology. Aug2018, Vol. 25 Issue 8, p862-870. 9p.
Publication Year :
2018

Abstract

We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear on 12–16 nodes of two recent platforms, with respect to improved implementation of FaST-LMM presented in an earlier work. This efficiency is attained through several enhancements on the original single-node version of FaST-LMM, together with the development of a message passing interface (MPI)-based version that ensures a balanced distribution of the workload as well as a multigraphics processing unit (GPU) module that can exploit the presence of multiple GPUs per node. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10665277
Volume :
25
Issue :
8
Database :
Academic Search Index
Journal :
Journal of Computational Biology
Publication Type :
Academic Journal
Accession number :
131126912
Full Text :
https://doi.org/10.1089/cmb.2018.0087