In Ansys software, there are various facilities for parallel processing that allow users to solve complex models at high speed and more efficiently. There are several different ways to implement parallel processing in Ansys, including:
1. Parallel Processing (PP): – Ansys uses parallel processing based on MPI (Message Passing Interface) to solve large and complex problems. – In this case, complex models are divided into several parts and each part is assigned to a processor. This allows users to benefit from more processing power to solve their problems.
2. Distributed Parallel (DP):- In this mode, Ansys distributes the models among several computers to perform calculations at the same time. – This feature allows users to use more extensive computing resources to solve large problems.
3. Hybrid Parallel (HP): – In this mode, different types of parallel processing including PP and DP are combined. Ansys allows users to combine parallel processing at the program level and the physical key level. Overall, the use of parallel processing in Ansys allows users to solve complex models more efficiently and faster. This is especially critical in industries such as aerospace, automotive, energy, etc. that require large and complex processing calculations.
How to do parallel processing in ANSYS
In Ansys, parallel processing is performed in two ways: “Parallel Processing” and “Distributed Parallel Processing”. In the following, the steps of parallel processing in Ansys are briefly described:
First you need to enable parallel processing in Ansys settings. For this, enter the “Environment Settings” section and enable the required options in the “Parallel Processing” section.
In general, to perform parallel processing in Ansys, you must first enable the corresponding settings, then apply the settings related to the type of parallel processing, and finally run your desired analysis using this feature. By doing this, you can significantly reduce the time of running your analyzes and get more productivity from your computing resources.