Why Simulation Time Is Still a Bottleneck
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 push run times up, often to the point where engineers wait hours or overnight for a single result. That delay slows down design iteration exactly when fast feedback matters most.

Webinar Scope
In this webinar, 4RealSim will show how a nonlinear FEA solver can leverage GPU acceleration to significantly reduce simulation time, for both implicit and explicit analyses. Participants will see how GPU based solving compares to traditional CPU only runs, what kinds of problems 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 to evaluating hardware investment for simulation teams