marshal - Framework to Marshal Objects to be Used in Another R Process

Some types of R objects can be used only in the R session they were created. If used as-is in another R process, such objects often result in an immediate error or in obscure and hard-to-troubleshoot outcomes. Because of this, they cannot be saved to file and re-used at a later time. They can also not be exported to a worker in parallel processing. These objects are sometimes referred to as non-exportable or non-serializable objects. One solution to this problem is to use "marshalling" to encode the R object into an exportable representation that then can be used to re-create a copy of that object in another R process. This package provides a framework for marshalling and unmarshalling R objects such that they can be transferred using functions such as serialize() and unserialize() of base R.

Last updated 1 years ago

marshallingparallelserialization

3.10 score 14 stars 18 scripts

future.tools - Tools for Working with Futures

Tools for Working with Futures.

Last updated 5 months ago

parallel-computingparallel-programming

2.90 score 2 stars

futureverse - Easily Install and Load the 'Futureverse'

The 'Futureverse' is a set of packages for parallel and distributed process with the 'future' package at its core, cf. Bengtsson (2021) <doi:10.32614/RJ-2021-048>. This package is designed to make it easy to install and load multiple 'Futureverse' packages in a single step. This package is intended for end-users, interactive use, and R scripts. Packages must not list it as a dependency - instead, explicitly declare each 'Futureverse' package as a dependency as needed.

Last updated 5 months ago

futureverseparallel-processing

2.48 score 6 stars 2 scripts 473 downloads