future

We have hosted the application future in order to run this application in our online workstations with Wine or directly.

Quick description about future:

The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc.

Features:

• Unified Future API: same interface for different execution modes (sequential, multicore, multisession, cluster)
• Automatic detection and export of global objects and functions needed by future expressions so user doesn�t need to manage that manually
• Support for various parallel and distributed computation backends (local multicore, remote clusters, etc.)
• Plans and strategies: ability to control how futures are resolved (e.g. whether in background, how many workers, etc.) via plan() etc
• Integration with other packages (future.apply, furrr, etc.) to provide parallel versions of *apply(), mapping functions etc
• Non-blocking or asynchronous evaluation (so main process need not block while future is resolving) and support for querying whether a future is resolved etc

Programming Language: R.
Categories: