Reconstruction of phylogenetic (evolutionary) trees has many important applications in the medical and biological sciences.
Because genome sequencing is becoming cheaper and faster at a higher pace than computer architectures are getting faster (according to Moore's law), we need to deploy supercomputers for building phylogenies from whole-genome datasets.
I will provide a general overview over the computational challenges pertaining to phylogenetic inference. Moreover, I will describe current work on porting our code for phylogenetic reconstruction to the Munich Supercomputing system SuperMUC (#6 on the top500 list) with respect to reducing communication overhead, improving load balance, and implementing fault tolerance.
I will conclude by providing an overview of current challenges in the field.Επιστροφή