Parallel Computing With R: A Brief Review
Abstract
Parallel computing has established itself as another standard method for applied research and data analysis. The R system, being internally constrained to mostly singly-threaded operations, can nevertheless be used along with different parallel computing approaches. This brief review covers OpenMP and Intel TBB at the cpu- and compiler level, moves to process-parallel approaches before discussing message-passing parallelism and big data technologies for parallel processing such as Spark, Docker and Kubernetes before concluding with a focus on the future package integrating many of these approaches.
- Publication:
-
arXiv e-prints
- Pub Date:
- December 2019
- DOI:
- 10.48550/arXiv.1912.11144
- arXiv:
- arXiv:1912.11144
- Bibcode:
- 2019arXiv191211144E
- Keywords:
-
- Statistics - Computation