Apply Function to Elements in Parallel using Futures
Efficient Fold, Reduce, Accumulate, Combine of a Vector
Options used for future.apply
future.apply: Apply Function to Elements in Parallel using Futures
Apply Functions Over Array Margins via Futures
Apply a Function to a Data Frame Split by Factors via Futures
Apply a Function over a List or Vector via Futures
Apply a Function to Multiple List or Vector Arguments
Create Chunks of Index Vectors
Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Useful links