check_openmp


Checks whether the C++ binaries have been compiled with OpenMP-support.


Parallelization

Frequently used methods in genomic applications with emphasis on parallel computing (OpenMP).
At its core, the package has a Gibbs Sampler that allows running univariate linear
mixed models that have both, sparse and dense design matrices. The parallel sampling method
in case of dense design matrices (e.g. Genotypes) allows running Ridge Regression or BayesA for
a very large number of individuals. The Gibbs Sampler is capable of running Single Step Genomic Prediction models.
In addition, the package offers parallelized functions for common tasks like genome-wide
association studies and cross validation in a memory efficient way.

Last chance! 50% off unlimited learning

check_openmp: Check OpenMP-support.

Description

Usage

Arguments

Value

See Also

Examples