A new benchmark to evaluate performance of two of the most common FEM/FEA solvers is proposed. On the cloudHPC platform it is possible to execute both calculiX and code_aster simulations with the most advanced MPI compilation. None of the two solvers is, in fact, available in multi-core use – also Read more…
You have run your simulation with code_aster FEM on the cloud and it is converged and now you need to post-process the results.The results files are several hundred GB and you don’t want to saturate your internet bandwith. This could be a tipical cloud computing scenario. You absolutely need to Read more…
On cloudHPC it is possible to execute code_aster cluster with OpenMPI. This means the process is going to be divided among the cores available on the instance so your simulation can proceed faster. When executing MPI processes it is mandatory to “split” the mesh: the parallelization in fact works that Read more…
In Code_Aster, some time is necessary resume the analysis to make a more accurate post processing. As long as you work on your machine and using a graphical interface such as that of AsterStudy, the procedure can be trivial and immediate. But what if you have to resume an old Read more…
During a FEM calculation it is important not only to be able to intelligently model a structure by making the necessary simplifications, but also, be able to understand the best solver is to use. The choice of the solver also influences the calculation times, improving or worsening them. CloudHPC is Read more…
How many times have you wanted to launch a FEA/FEM analysis on Code Aster but did not have the necessary computing power? In this article we show you how you can overcome this problem by carrying out an analysis on the CloudHPC website, a computing resource service made available by Read more…
