- #Parallels for windows experts third party for free#
- #Parallels for windows experts third party how to#
- #Parallels for windows experts third party Pc#
However, the first two versions of Windows Mobile were confusingly called Pocket PC 2000 and Pocket PC 2002, so some Pocket PC devices were running Pocket PC as their operating system. Pocket PC was a term used by Microsoft to describe a personal digital assistant (PDA) running the Windows Mobile operating system. Parallel run is easy to use and to manage graphically as the export file is automatically generated at launch by AsterStudy.Microsoft is known for confusing product names (just look at the Microsoft Office product line and products like Office 2019, Office 365, and Microsoft 365), so we should begin our brief overview of the history of Pocket PC and Windows Mobile by clarifying a few terms. The Code_Aster for Windows premium version focus on performance and time gain, especially if you have large studies to run and good CPU configurations. We can wait for the job to end.Īfter the run succeed, the export and message shows that number of MPI processes used to run this case is 2. It is set to 2 for this case.ĪsterStudy has launched Code_Aster Windows premium. Let’s for example fill in the lineedit with “ mumps01b” and click on the OK button.īefore to run, the advanced tab permit to set up “Number of MPI CPU”. On the History View tab, select in the menu, Operations -> Import a testcase The premium version can run these extra MUMPS parallel testcases: mumps01b mumps02b mumps04b sdll11jĪfter Code_Aster community being replaced by the premium version in a Salome-Meca Windows installation, it is possible to graphically run these parallel tests in AsterStudy module.
#Parallels for windows experts third party for free#
Running a parallel case in AsterStudy on WindowsĬode_Aster for Windows premium has been validated in the same way as the Code_Aster community version available for free in our download page. Even for Linux, a parallel version should be build by yourself or provided by a third party. Note : Code_Aster is officially distributed without MPI parallelism at the time being. One can notice that better performance is obtained on a native Linux, but our native Code_Aster Windows performs better than Code_Aster running on a Linux virtual machine on Windows host.Ĭoncerning memory consumption, it is obviously the same on all the platforms, without any side effect on elapsed time as long as there is enough RAM allocated to the virtual machine to avoid swapping.
We also compare results for different platforms.Īs expected, on both platforms, resolution time is reduced as the number of processes increase. We evaluate the resolution time on a Core 2 Quad Q6600, with number of MPI processes (np) set to 1, 2 and 4, but it is possible to increase the number of processes even more if your CPU configuration makes it possible. Since resolution is the most consuming stage, similar gain is expected on industrial non-linear studies with multiple iterations.
We study resolution time, using MUMPS, during the static linear computation having a single iteration. The mesh contains 261520 nodes and the mechanical model 803352 degrees of freedom. Here, testcase perf009 is used to evaluate performances on Code_Aster version 13.4.
#Parallels for windows experts third party how to#
We also show how to run a parallel case from AsterStudy module. We present here performance comparison and time gain by increasing number of processes allocated to a run.
For those interested in performance, we build a premium version, with powerful MPI parallelism and MUMPS 5.1.1, that aims to better exploit multi-core modern processors. The Code_Aster for Windows binary package available for free in our download page does not include MPI parallelism.
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