Enabling NVIDIA GPUs for FEA solving can significantly accelerate FEA solve times when paired with the optimal number of CPU cores. However, an excessive number of CPU cores paired with a single GPU may impede performance due to PCI-Express bandwidth limitations.
To witness the GPU's prowess in action during the solving process, navigate to the task manager and observe the GPU graph. Switch from the default 3D view to CUDA. You'll notice small spikes appearing once the CPU completes assembling the global matrix, subdividing the task into individual domains, and delegating matrix operations to CUDA cores. Each of these spikes signifies an individual increments within each of your load step.
Growth Investor - Mercato Traverse | Kauffman Fellow - Class 26
2moWe know that AI is desperate for even faster pace and this is one of the innovative approaches by an entrepreneur for an entrepreneur. Congrats Stephen Balaban, Michael Balaban, Mitesh Agrawal, Robert Brooks IV, and the Lambda team.