Virtualizing Matlab under Microsoft AppV
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We are trying to virtualize Matlab using App-V by Microsoft. The sequencing goes fine, the newest App-V 5.1 packages also the Vcc runtimes and Java is not a problem when loading the application. The only problem we found is that packaging the whole Matlab+toolboxes takes ages to start. Anybody did successfully sequence it ? thanks. alessio
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Ian Sadkovich
2016-2-8
We are having similar issues. Matlab 2014 wasn't exactly speedy with App-V 5 but with version 2015 its an absolute dog.
Mathworks, before you say that something is not supported, please do your research about the technology. App-V isn't a virtual machine.
Mark Hodkin
2016-8-26
This doesn't take away from the support issue. That is a different subject........ I found if I sequenced (App-V 5.1) with the PVAD enabled and set to C:\Program Files\MATLAB\R2016a then the launch times is rapidly reduced. This may be still too slow....but a lot faster
Without PVAD set 31 minutes 25 each launch With PVAD set 4 minutes 22 First launch Second launch 58 Secs Physical Install 42 secs
I also Stream faulted the application rather than fully download or setting FB1 improved the performance.
To set the PVAD in App-V 5.1 From a command prompt run Sequencer.exe -EnablePVADControl
As mentioned in other posts the number of toolboxes included also seems to have an impact.
For Timings and debugging I used Tim Mangan's AppV Manage tool (<http://www.tmurgent.com/Tools/AppV_Manage/Default.aspx>) #
There are nearly 300 fonts that are included in Matlab so I may also experiment with installing them locally as I've seen performance increases with other applications when the fonts are installed locally. Other avenues to follow up also include ensuring all the Visual C++ packages are installed locally so no additional side by side work needs to take place.
Hope this helps
回答(1 个)
Rahul Goel
2016-1-5
Hi Alessio,
Virtualizing MATLAB using Microsoft AppV is not a supported workflow by MathWorks. Also, from the steps you mentioned, loading multiple toolboxes with MATLAB is a memory intensive task and can be a long process on a virtual machine.
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