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HPC in Mechanical: Solvers and Memory Management (Core Skills) (Self-paced Learning Available)

Course Overview

This course highlights different options to use less or more RAM, in some cases with lower or higher performance and in some cases with no performance change. Less RAM used will allow you to solve larger models. Options to speed up the analysis with a RAM increase, could also help you to save time. In any case, you will widen the field of possibilities.

Prerequisites

Completion of the following courses are highly recommended:

Basic Hardware Knowledge would be an advantage.

Teaching Method

This is a self-paced course covering lectures, demonstrations and workshops.

Learning Outcomes:  

Following completion of this course, you will be able to:

  • Set up the size of a SWAP file to increase the solving capabilities.
  • Distinguish the different types of memory.
  • Recognize and setup the different tools to manage the RAM during a simulation. 
  • Monitor the RAM during a solve and identify the general steps of the solving process.
  • Understand the memory allocation logic of the database and scratch space and optimize the requested memories for a better RAM management.  
  • Choose the right solver for its different work cases (Static and Transient case for Structural and Thermal simulations).
  • Select the options for each solver according to its objectives (Performance / Size of the simulation).
  • Understand the Pivots and Pivoting algorithm message and the implications. 

 Available Dates

Currently, no training dates available

Learning Options

Training materials for this course are available with an Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. 

Self-paced Learning 

Complete a class on your own schedule at your own pace. Scope is equivalent to Instructor led classes. Includes video lecture, workshops and input files. All our Self-Paced video courses are only available with an Ansys Learning Hub subscription.

Agenda