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HPC in Ansys Mechanical In-Core versus Out-of-Core (Self-paced Learning Available)

Course Overview

This course is about the Sparse solver memory management methods and performance during a solve. Following completion of this course, you will;

  • See the difference between the In-core and the out-of-core method of memory requirement. 
  • See how to interpret the solution information (solve.out) and the information about the memory usage.
  • Learn how to evaluate your model and choose the right parameters to solve on your machine.

Prerequisites

Target Audience

FEA Engineers and Designers who want to evaluate their models, choose the right options, and optimize the performance of their machine to reduce the Solver run duration.

Teaching Method

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

Learning Path

hpc-in-mechanical-in-core-versus-out-of-core.png

Learning Outcome

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

  • Understand the difference between the In-core and Out-of-Core method of memory requirement, 
  • memory footprint during a solve.
  • Understand the outcome of a minor setup update impact on solver time and memory.
  • Evaluate your model and your machine’s capacity before taking the decision on which solver to use  
    and which option for the sparse solver to define
  • Optimize your machine’s capacity to run your model faster  
  • Interpret the solution information (solve.out) and the information about memory usage  
    (Solving time, RAM consumption, etc.).

 Available Dates

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

This is a self-paced course. Duration 2-4-hours.

  • General Concept, Trends and Examples
    • General Context
    • Definition and Qualitative Comparisons
  • Going Deeper, Detailed Metrics and Evaluate Your Model
    • Time Comparisons
    • Evaluate Your Model
  • Advanced Topics
    • Evaluate Your Model - Advanced Topics
    • Time Comparisons - Advanced Topics
    • Core Impact