This is the Windows app named future whose latest release can be downloaded as future1.67.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named future with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
future
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/future.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
