SMS scnews item created by Munir Hiabu at Thu 21 May 2020 1209
Type: Seminar
Distribution: World
Expiry: 22 May 2020
Calendar1: 22 May 2020 1400-1500
CalLoc1: Zoom
CalTitle1: Optimising the fitting of linear mixed models - Comparing BLAS subroutines in isolation (no pun intended)
Auth: munir@119-18-2-42.771202.syd.nbn.aussiebb.net (mhia8050) in SMS-WASM

# Statistics across Campuses: Luke Mazur -- Optimising the fitting of linear mixed models - Comparing BLAS subroutines in isolation (no pun intended)

Optimizing the Fitting of Linear Mixed Models - Comparing BLAS Subroutines in Isolation
(no pun intended)

Date: 22 May 2020, Friday

Time: 2 pm

Speaker: Luke Mazur (Univeristy of Wollongong)

Abstract:

Linear mixed models arising from animal and plant breeding result in sparse sets of
Mixed Model Equations with particular structures.  An effective method of fitting these
models is the Average Information (AI) algorithm, and the largest computational
bottlenecks in the AI algorithm are the solution of these equations and the calculation
of the Sparse Inverse Subset for the AI updating.  There are a number of potential Basic
Linear Algebra Sublibrary (BLAS) subroutines that can be used for these tasks, and
potential candidates are investigated via a comparative experiment to see which
combination of these is best.