Faster Solutions for Nonlinear Structural Problems

Nonlinear FEA problems, whether solved implicitly or explicitly, tend to be the most computationally demanding part of any simulation workflow. Large models, contact, and material nonlinearity all drive run times up, often to the point where a single result takes hours, or an overnight run, to complete. That delay slows down design iteration at precisely the point where fast feedback matters most.

Webinar Scope

In this webinar, 12Simulate shows how a nonlinear FEA solver can leverage GPU acceleration to significantly cut simulation time, for both implicit and explicit analyses. Participants will see how GPU based solving compares to traditional CPU only runs, which problem types benefit most, and what to expect in terms of speed up and hardware requirements.

Topics Covered

• How GPU acceleration fits into the nonlinear FEA solving process

• Speed up comparisons: GPU accelerated versus CPU only runs

• Problem types that benefit most from GPU acceleration

• Hardware and setup requirements for GPU accelerated solving

What GPU Acceleration Delivers

• Meaningfully shorter run times on large nonlinear problems

• Faster design iteration without compromising solution accuracy

• Benefits across both implicit and explicit solving

• Better use of existing hardware investment

Who Should Attend?

• Simulation engineers running large or long duration nonlinear FEA models

• Analysts looking to shorten turnaround time on design studies

• IT or engineering leads evaluating hardware investment for simulation teams