CuRnet: an R package for graph traversing on GPU.

ABSTRACT:

Background

R has become the de-facto reference analysis environment in Bioinformatics. Plenty of tools are available as packages that extend the R functionality, and many of them target the analysis of biological networks. Several algorithms for graphs, which are the most adopted mathematical representation of networks, are well-known examples of applications that require high-performance computing, and for which classic sequential implementations are becoming inappropriate. In this context, parallel approaches targeting GPU architectures are becoming pervasive to deal with the execution time constraints. Although R packages for parallel execution on GPUs are already available, none of them provides graph algorithms.

Results

This work presents cuRnet, a R package that provid

SUBMITTER: Bonnici V 

PROVIDER: S-EPMC6191969 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature