FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
Scholar | Other documents of the author: Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, Maribel; Quintana Ortí, Enrique S.; Rambla, Jordi; Farré, Xavier; Navarro, Arcadi
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TitleFaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
PublisherMary Ann Liebert
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 ... [+]
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. [-]
Investigation projectUniversitat Jaume I (TIN2014-53495-R) ; MINECO and FEDER (TIN2017-82972-R) ; Wellcome Trust Case Control Consortium (Award 076113)
Bibliographic citationMARTÍNEZ, Héctor, et al. FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters. Journal of Computational Biology, 2018, 25.8: 862-870.
© 2018 Mary Ann Liebert, Inc., publishers. All rights reserved, USA and worldwide.
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