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Monte Carlo eXtreme (MCX) to run in Windows online over Li

Free download Monte Carlo eXtreme (MCX) to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Monte Carlo eXtreme (MCX) to run in Windows online over Linux online whose latest release can be downloaded as DigiBreast_ubjson_v1.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Monte Carlo eXtreme (MCX) to run in Windows online over Linux online 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.

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Monte Carlo eXtreme (MCX) to run in Windows online over Linux online


DESCRIPTION

MCX is a Monte Carlo simulation software for static or time-resolved photon transport in 3D media. It uses GPU-based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations.

Features

  • 300x~1000x acceleration compared with single-threaded CPU simulations
  • MATLAB & GNU Octave compatible
  • Returning partial pathlength for photon detection
  • Supporting boundary reflection
  • Supporting both atomic and non-atomic operations
  • Efficient parallel random number generators
  • Cross platforms


Audience

Healthcare Industry, Science/Research, Engineering



Programming Language

C++, C



This is an application that can also be fetched from https://sourceforge.net/projects/mcx/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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