The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …

Despite recent advances achieved by application of high-performance computing methods
and novel algorithmic techniques to maximum likelihood (ML)-based inference programs …

This paper explores the pros and cons of reconfigurable computing in the form of FPGAs for
high performance efficient computing. In particular, the paper presents the results of a …

While multicore hardware has become ubiquitous, explicitly parallel programming models
and compiler techniques for exploiting parallelism on these systems have noticeably lagged …

Annotating human poses in realistic scenes is very time consuming, yet necessary for
training human pose estimators. We propose to address this problem in an active learning …

Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics
due to the immense computational requirements. RAxML is currently among the fastest and …

Phylogenetic inference is a grand challenge in Bioinformatics due to immense
computational requirements. The increasing popularity of multi-gene alignments in …

Increasing demand for performance and efficiency has driven the computer industry toward
multicore systems. These systems have become the industry standard in almost all …

The continuous accumulation of sequence data, for example, due to novel wet-laboratory
techniques such as pyrosequencing, coupled with the increasing popularity of multi-gene …

A hybrid MPI/Pthreads parallelization was implemented in the RAxML phylogenetics code.
New MPI code was added to the existing Pthreads production code to exploit parallelism at …