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…
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…
Generating obstruction geometries for FDS is faster and easier with the help of the powerful 3D editing tool BlenderFDS. BlenderFDS is an opensource software that works as an user interface for FDS. You can download Blender and BlenderFDS directly from this website. Blender FDS gives you the tools to generate Read more…
Often in FDS is useful to control various object’s actions, such create or remove obstruction and activating vents. Basic control logics can are set in FDS through the device namelist (DEVC). The namelist DEVC comprehends all the devices in FDS which are able to operate in different ways depending on Read more…
When you are running a FDS model, a common problem is how to tailor the computational power and memory (RAM) allocated to your simulation. It is important to monitor the vCPU and RAM in the first hours of the simulation. The offered services by the Cloud HPC allows you, not Read more…
Salome is perhaps the best performing geometric preprocessor and opensource mesh generator available. This software is available within the CloudHPC app and it is possible to take advantage of the high computing power made available by CloudHPC. In this article we are going to see how you can use SALOME Read more…
Many users wonder how which procedure follows our snappyHexMesh script. The reply to this question is rather simple and this post aims at giving you the most important info. basic steps to generate mesh with snappyHexMesh Obviously to use snappyHexMesh there are three steps to follow and complete: blockMesh – Read more…
CloudHPC is able to provide a number of real-time information when running OpenFOAM simulations. In particular it gets useful to add some OpenFOAM function object which are able to plot some variables calculated by OpenFOAM. Thanks to these, you can monitor your analysis and it is possible to make a Read more…
