Simufact Example

Rescale provides a great tool to run your Simufact analysis using the built-in MSC Solver. 

To get started, you’ll need to first create the dat files in your Simufact GUI. To do so, open your model and click the Start Analysis button in the GUI:

kBbS3olIBqYQh 9xhsY1np8ZNaEh PiWhWghTgq1bDyles3bOzwqHBgttO9 APUFUo6Z0M9VeU6nYfHZF1L3gf mj3BmfNSTWQ5RisEekDtPTcfrUrrNJMfntJVmWe MMOOKMujUkAfefWVsnTIY1eXFH1npURWffpQZ Y0XifuPDok2KKWykAqT

Once the Analysis start screen opens, you’re done creating your dat files. This will automatically create the necessary run files that you need to run in batch on Rescale.

Next, enter your working directory and open the model path. You will need to upload all the files under _Run_.

You’ll need to upload ALL files under this directory. 

The best option is to compress all these files into a zip directory:

A7YkfqJcioA7bjzmWRCTgfWf7wq8v3ZY flFJ Q5sSWuomE6ddCZ8hhcdWSGtXhjj3lA CELT9p vVTVk8dmaSd7tIe 1OcmJTDvERVQpqIfzSezkmWkw2icr3cfFHXjPZ7pC 5 jtftlBGs2DFSzoa0ePuXBXuyHqhO VmzFPS0zpkpyUpqwJOz

Running Your Job

To start creating your job, use the zip archive you created as an input file.

TuE9T9XW0qmOpCEItoPGaGT78qNzZdmQOHb5 shOhT0pF9WbsuqNz3y4hfmE rNWVEhvun PXS wIgpfY7X6YByJ3I8GDjMs02G5vGYDYDU

Once your upload is complete, click Next and select your software.

sUUeyEBlt9kn0RpW T7PpAhyZh1Xi1CXJDnmxGnTuRudWVwtdF2uXfKbM6VZ3egorgxaUYgnGirnIpK3VVrvG6S8JZaLTHMy2AxCFGbOKrRCoR0BLgs25D9HTl G 9CIWlZWE6Iolbud3IEV5JzrckmSm1WmVW UpsI ycDGwHdPYDmgWXIrHnjb

Once you select your software, you’ll notice that there is a pre-filled command in your command box. Update the file-ID with the name of your input file to run.

WO1zb1QO8vrorwYjy4FAXO0gnjciUNZxV1dPDWRJraq1KyNdQ4DO5JMDJBpVP VgeFTEaYD14J125kJf2hHtTECmBNDRereIM8aq9 9PdY5HFKhANHGJRKoFhtY iKoW

Once this is in place, click Next to move to hardware selection.

Select your hardware and set your core counts. Once you’ve done so, click Submit.

vMZ 6BnAETYyQjSzRXvYlAagKl094khZ4AMCF4UNbzQUWPntJuJ28zYByD81Ab7 pQPBAzOLW I2YR0QOEThYOzB0GB0sNdbSekrFRjrU1L9lPzbb68mM85JlLgRtLBf7tqKGosS1sn4 mu7iMIXPFuSxSaAU lYvKt4znKFEaVN2FfGuJ3qOHPJ