Plaxis 3d Cloud Computing

Question

Can Plaxis 3D be set up to run on a cloud computing virtual machine (such as Microsoft Azure)? And would there be any significant calculation speed increase from having it run on a VM set up that can have up to 96 vCPUs and 1TB of RAM but less processing speed per CPU (max 3.5 Ghz), versus just a powerful in-house workstation (such as 4-core 4.1 GHz processor and 64 Gb Ram)?

Stefanos Papavasileiou · Answer

Dear Cory, 
 PLAXIS is implemented and tested to work on native Windows OS in a physical PC. However, it should be possible to be used in a virtual machine. 
 Note that virtual machine do apply special settings when it comes to visualisation (to make the remote communication faster). But running a calculation on a virtual machine should be fine. Be aware that since we do not test and support running PLAXIS on a virtual machine any issues that may arise need to be handled via a Service Request: https://apps.bentley.com/srmanager/ProductSupport 
 With regards to computer specifications, all our recommendations we provide are based on single desktop computers with a natively running Windows 64-bit environment (Windows 10/11), since this is what we design the software for and run all our tests on. The system requirements are mentioned here: https://communities.bentley.com/products/geotech-analysis/w/plaxis-soilvision-wiki/45417/system-requirements---plaxis 
 To get quick operations in the program: 
 
 make sure the Windows TEMP is stored on a fast disk, e.g. an SSD. During the calculations, the calculation will need to read and write a lot of data so having a fast drive will help overall for the calculation; 
 storing the final data on a normal hard drive does not influence the calculation time: only when you tell PLAXIS to save the data, the data from the Windows TEMP folder will be moved to the final save location; 
 have enough RAM. For models up to 500,000 elements not doing dynamic calculations, 16 GB should work. For larger models, get at least 32 GB. Only when you have models with roughly more than 1 million elements 32 GB RAM would be required; 
 For visualization, get a recent (gaming) graphics card that supports OpenGL 2 or higher with at least 1 GB of dedicated, not shared, RAM. Preferably from NVIDIA; Note that the Finite Element calculation does not use the graphics card to execute the calculations, this is still all done on the CPU; 
 From our benchmarking, we do not see a conclusive speed increase for all kinds of calculation types (Plastic, Consolidation, Dynamics, etc.) in the calculation when you have more than 8 cores; 
 Note that we do not use hyperthreading, but PLAXIS will utilize all physically available cores. If the processor uses hyperthreading, this is not used. What hyperthreading does, is that it splits a core usage into two virtual cores. For a PLAXIS calculation, this means that it will try to use 1 at 100% and the other at about 20% (this is managed by Windows and the processor architecture). Then for the Plaxis calculation, the performance of the first one drops a bit too, since one processor cannot be used for 120% (so to run 120% of calculation operations per second). So, the total performance drops a bit too. In general, for a PLAXIS calculation, this runs slower than using the e.g. 4 physical cores to the max, compared to a setup with 4 hyperthreaded cores (8 logical cores). 
 And of course, a faster CPU will mean faster calculations. 
 
 If you need to make a choice between more CPU cores or faster CPU cores, I would go for the faster cores if your main concern is the PLAXIS calculation speed. We have seen once you have at least quad-core processors, you benefit more from a faster CPU than from more cores. 
 PLAXIS does not enforce limits on the number of items in a 3D calculation, but of course, the more elements you have, the more memory the program needs, and then you can run into hardware limitations. 
 Of course, this is the experience we have with the current program. 
 See more details here: 
 
 Hardware: https://communities.bentley.com/products/geotechnical1/w/wiki/45817/multicore-cpu-and-32-64-bit 
 Setting up phases efficiently: https://communities.bentley.com/products/geotechnical1/w/wiki/45816/is-plaxis-3d-enabled-for-multicore includes info about running parallel phases simultaneously

Plaxis 3d Cloud Computing

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