Often users ask how much a simulation on cloudHPC is when using FDS. To this question the reply is generally articulated and this post investigates the main parameters that influences your simulation cost. cloudHPC pricing First of all, it is important to remind you how cloudHPC pricing works. Compare to 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…
Code Saturne is an opensource CFD software that allow to simulate single phase flow behaviour. It has an integrated GUi that help you to manage the simulation.As evert CFD software, the computational cost is very expensive to company or freelance engineer. for this reason CFD FEA SERVICE has inserted the Read more…
One of the main challenges when running a complex FDS analysis is the simulation time. Long simulation time usually depends on the high amount of calculation and available computational capacity allocated. The dimension of the computational domain, and therefore of the meshes’ cells number, contributes to increase the simulation time. Read more…
CloudHPC data security is a very important task to guarantee. In an cloudHPC system like ours we often deal with massive data coming from engineers which can be under NDA (Non Disclosure Agreement) between users of our platform and their clients or protected by patent. For this type of situation Read more…
CFD FEA Service offers the Cloud HPC service to run your FDS scripts for computational fluid dynamics simulations. The offered service allows you to manage your FDS script and your simulation completely online from the web-app. From the web-app it is possible to edit your FDS File online and the following Read more…
In FDS, the calculations are performed within the set-up domain defined by the meshes. A mesh is a volume formed by rectangular cells. The number and size of the cells define the desired resolution of the mesh and therefore of the calculations. This post aim to give an overview about Read more…
A fundamental stage in FDS to achieve a good scalability regards the use of MPI (also named multicore) parallelization method. This method, as we highlighted in an old post, is based on the MESH definition in the input FDS file. To achieve a good scalability it is fundamental you split 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…
