Efficient Computation of the Phylogenetic Likelihood Function  on the Intel MIC Architecture

Phylogenetic inference is the process of reconstructing the evolutionary history of species based on their traits, nowadays mostly using molecular sequence data. Current state-of-the-art inference methods, like Bayesian and Maximum Likelihood (ML) inference, rely on the Phylogenetic Likelihood Function (PLF) as their computational core. Due to the large number of floating-point operations involved, the PLF evaluation is the major bottleneck for...