RcppParallel-package: Parallel programming tools for Rcpp
In RcppParallel: Parallel Programming Tools for 'Rcpp'
RcppParallel-package R Documentation
Parallel programming tools for Rcpp
Description
High level functions for doing parallel programming with Rcpp. For example,
the parallelFor() function can be used to convert the work of a
standard serial "for" loop into a parallel one, and the parallelReduce()
function can be used for accumulating aggregate or other values.
Details
The high level interface enables safe and robust parallel programming
without direct manipulation of operating system threads. On Windows, macOS,
and Linux systems the underlying implementation is based on Intel TBB
(Threading Building Blocks). On other platforms, a less-performant fallback
implementation based on the TinyThread library is used.
For additional documentation, see the package website at:
RcppParallel documentation built on March 7, 2023, 7:05 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| RcppParallel-package | R Documentation |
Parallel programming tools for Rcpp
Description
High level functions for doing parallel programming with Rcpp. For example,
the parallelFor() function can be used to convert the work of a
standard serial "for" loop into a parallel one, and the parallelReduce()
function can be used for accumulating aggregate or other values.
Details
The high level interface enables safe and robust parallel programming without direct manipulation of operating system threads. On Windows, macOS, and Linux systems the underlying implementation is based on Intel TBB (Threading Building Blocks). On other platforms, a less-performant fallback implementation based on the TinyThread library is used.
For additional documentation, see the package website at:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.